Book

TierCache: A Multi-Granularity Semantic Caching Framework for Structured Query Generation Myeonghwa Lee, Hyunjun Yang, Min-Soo Kim

Conference

Extracting Arguments, Not Just Classifying Them: Instruction-Tuned LLMs for Generative Component Detection Sofiane Elguendouze, Erwan Hain, Elena Cabrio, Serena Villata

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ReflCtrl: Controlling LLM Reflection Efficiently via Representation Engineering Ge Yan, Chung-En Sun, Linbo Liu, Tsui-Wei (Lily) Weng

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Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning Peng Xia, Kaide Zeng, Jiaqi Liu, Can Qin, Fang Wu, Yiyang Zhou, Caiming Xiong, Huaxiu Yao

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Safety Cost of Steering Vectors Is Separable and Reducible Yuxiao Li, Gjergji Kasneci

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Detecting Safety Violations Across Many Agent Traces Adam Stein, Davis Brown, Hamed Hassani, Mayur Naik, Eric Wong

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SOTOPIA-TOM: Evaluating Privacy and Information Management in Multi-Agent Interaction with Theory of Mind Yashwanth YS, Ruichen Wang, Shihua Zeng, Xuhui Zhou, Koichi Onoue, Vasudha Varadarajan, Maarten Sap

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When Correct Patches Become Vulnerable: Red Teaming LLM-Based Program Repair Agents Simin Chen, Yixin He, Suman Jana, Baishakhi Ray

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Early Data Exposure Improves Robustness to Subsequent Fine-Tuning Lawrence Feng, Gaurav R Ghosal, Jacob M Springer, Ziqian Zhong, Aditi Raghunathan

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Eliciting Intrinsic Hallucinations in LLMs via Semantically Equivalent Adversarial Attacks Atri Vivek Sharma, Brian Formento, Alessio Lomuscio

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Subspace Control: Turning Constrained Model Steering into Controllable Spectral Optimization Yancheng Huang, Changsheng Wang, Chongyu Fan, Yicheng Lang, Bingqi Shang, Yang Zhang, Mingyi Hong, Qing Qu, Alvaro Velasquez, Sijia Liu

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Unable to Forget: Proactive Interference Reveals Working Memory Limits in LLMs Beyond Context Length Chupei Wang, Jiaqiu Vince Sun

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Understanding the Effects of Safety Unalignment on Large Language Models John Halloran

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UrbanLLMind: Scalable LLM-Powered Urban Mobility Simulation with Open-Weight Models Prabin Bhandari, Sandro M Reia, Dieter Pfoser, Antonios Anastasopoulos

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Opusanimation: Code-based dynamic chart generation Bozheng Li, Miao Yang, Zhenhan Chen, Jiawang Cao, Mushui Liu, Yi Lu, Yongliang Wu, Bin Zhang, Yangguang Ji, Licheng Tang, Jay Wu, Wenbo Zhu

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BrowseSafe: Understanding and Detecting Prompt Injection Within AI Browser Agents Kaiyuan Zhang, Mark Tenenholtz, Kyle Polley, Jerry Ma, Denis Yarats, Ninghui Li

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Goedel-Code-Prover: Hierarchical Proof Search for Open State-of-the-Art Code Verification Zenan Li, Ziran Yang, Mike He, Haoyu Zhao, A. Zhao, Shange Tang, Kaiyu Yang, Aarti Gupta, Zhendong Su, Chi Jin

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CoVLA: Vision-Language Alignment with Fewer Vision Tokens Junyong Park, Yong-Ju Lee, Daeyoung Kim

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Language Models That Think, Chat Better Adithya Bhaskar, Xi Ye, Danqi Chen

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CONCORD: Label-Free Calibration of Verbalized LLM Confidence via Rollout Consistency Maximilian Schall, Gerard de Melo, Padhraic Smyth

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Start Classifying: Categorical Critics for LLM Reinforcement Learning Zhijian Zhou, Long Li, Xuan Zhang, Zongkai Liu, Yulei Qin, Ke Li, Xing Sun, Xiaoyu Tan, Chao Qu, Yuan Qi

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OpenVLThinkerV2: A Generalist Multimodal Reasoning Model for Multi-domain Visual Tasks Wenbo Hu, Xin Chen, Yan Gao-Tian, Nanyun (Violet) Peng, Kai-Wei Chang

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Can We Trust LLMs on Memristors? Diving into Reasoning Ability under Non-Ideality Taiqiang Wu, Yuxin Cheng, Chenchen Ding, RUNMING YANG, Feng Xincheng, Wenyong Zhou, Zhengwu Liu, Ngai Wong

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Sample, Align, Synthesize: Graph-Based Response Synthesis with ConGrs Sayan Ghosh, Shahzaib S Warraich, Dhruv Tarsadiya, Gregory Yauney, Swabha Swayamdipta

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Bagpiper: Solving Open-Ended Audio Tasks via Rich Captions Jinchuan Tian, Haoran Wang, Bo-Hao Su, Chien-yu Huang, Qingzheng Wang, Jiatong Shi, William Chen, Xun Gong, Siddhant Arora, Chin-Jou Li, Masao Someki, Takashi Maekaku, Yusuke Shinohara, Jin Sakuma, Keita Goto, Chao-Han Huck Yang, Shinji Watanabe

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ResearcherBench: Evaluating Deep AI Research Systems on Open-ended AI Research Tasks Tianze Xu, Pengrui Lu, Lyumanshan Ye, Xiangkun Hu, Pengfei Liu

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FinTrace: Holistic Trajectory-Level Evaluation of LLM Tool Calling for Long-Horizon Financial Tasks Yupeng Cao, Haohang Li, Weijin Liu, Wenbo Cao, Anke Xu, Lingfei Qian, Xueqing Peng, Minxue Tang, Zhiyuan Yao, Jimin Huang, K.P. Subbalakshmi, Zining Zhu, Jordan W Suchow, Yangyang Yu

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FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills Zeyu Ren, Ling Yue, Ran Li, Yishu Wang, Shengxiang Xu, Hanmo Liu, Shaowu Pan, Shimin Di

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UNMASK Discovering and Causally Verifying Spurious Shortcuts in Text Classifiers Chidaksh Ravuru, Shashank Srivastava

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The State and Fate of Multilingual, Contextual Evaluation in the NLP World Manan Uppadhyay, Himanshu Beniwal, Prashant Kodali, Sunayana Sitaram

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High Volatility and Action Bias Distinguish LLMs from Humans in Group Coordination Sahaj Singh Maini, Robert L Goldstone, Zoran Tiganj

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Polar probe linearly decodes semantic structures from LLMs Pablo Diego-Simón, Pierre Orhan, Emmanuel Chemla, Yair Lakretz, Jean-Remi King

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$V_{0.5}$: Generalist Value Model as a Prior for Sparse RL Rollouts Yi-Kai Zhang, Yueqing Sun, Hongyan Hao, Xierui SONG, Xunliang Cai, Long Chen, De-Chuan Zhan, Han-Jia Ye

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Semantic Differentiation for Tackling Challenges in Watermarking Low-Entropy Constrained Generation Outputs Nghia T Le, Alan Ritter, Kartik Goyal

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Extracting memorized pieces of (copyrighted) books from open-weight language models A. Feder Cooper, Mark Lemley, Allison Casasola, Ahmed M Ahmed, Aaron Gokaslan, Amy B Cyphert, Christopher De Sa, Daniel Ho, Percy Liang

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How social context shapes value-related content in Large Language Model outputs Maryam Ghorbansabagh, Eugene Yu Ji, Amir-Hossein Karimi, Igor Grossmann

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OpenStamp: A Watermark for Open-Source Language Models Miroojin Bakshi, Saksham Rastogi, Danish Pruthi

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Stargazer: A Scalable Model-fitting Benchmark Environment for AI Agents under Astrophysical Constraints Xinge Liu, Terry J Zhang, Bernhard Schölkopf, Zhijing Jin, Kristen Menou

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ComponentBench: Diagnosing Component-Level Failures in Computer-Use Agents Tianchen Guan, Daisy X Lin, Royce Cheng-Yue, Xiangjun Wang, Shuyan Zhou

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Neural Architecture Discovery via Autonomous Evolution Weixian Xu, Yixiu Liu, Yang Nan, Lyumanshan Ye, Xiangkun Hu, Zhen Qin, Pengfei Liu

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TGIF: Text-Guided Layer Fusion Mitigates Hallucination in Multimodal LLMs Chenchen Lin, Sanbao Su, Rachel Luo, Yuxiao Chen, Yan Wang, Marco Pavone, Fei Miao

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AMAT: Automated Multi-Agent Topology Design via Reinforcement Learning Shijie Zheng, Zhiqiang Pu, Hao Ma, Tianyi Hu, Xiaolin Ai, Yi Pan

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Efficient Safety Alignment of Language Models via Latent Personality Traits Mohamed Amine Merzouk, Nolan Smyth, Damiano Fornasiere, Linh Le, David Williams-King, Adam Oberman

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A Mirage of Coherence: How Metaphor Impacts Language Models' Discourse Coherence Assessment Wanting Ning, Brian Choi, Eun Jin Paek, Hyeju Jang

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LLMs as Content Curators: A Large-Scale Audit of Recommendation Bias Across Providers and Platforms Nicolò Pagan, Christopher Barrie, Christopher Bail, Petter Törnberg

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Emergent Unfaithfulness: How Alignment Training Causes Language Models to Silently Override Task Faithfulness Pardis Sadat Zahraei, Janvijay Singh, Gokhan Tur, Dilek Hakkani-Tür

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CooperBench: Why coding agents cannot be your teammates yet Arpandeep Khatua, Hao Zhu, Peter Tran, Arya Prabhudesai, Frederic Sadrieh, Johann K Lieberwirth, Xinkai Yu, Yicheng Fu, Michael J Ryan, Jiaxin Pei, Diyi Yang

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ATBench: A Diverse and Realistic Agent Trajectory Benchmark for Safety Evaluation and Diagnosis Yu Li, Haoyu Luo, Yuejin Xie, Yuqian Fu, Zhonghao Yang, Shuai Shao, Qihan Ren, Wanying Qu, Yanwei Fu, Yujiu Yang, Jing Shao, Dongrui Liu

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When Do LLMs Admit Their Mistakes? Understanding The Role Of Model Belief In Retraction Yuqing Yang, Robin Jia

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Deep Research Agents Bring Deeper Harm Shuo Chen, Zonggen Li, Xingyu Jin, Zhen Han, Bailan He, Tong Liu, Haokun Chen, Georg Groh, Philip Torr, Volker Tresp, Jindong Gu

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Causal Drawbridges: Characterizing Gradient Blocking of Syntactic Islands in Transformer LMs Sasha Boguraev, Kyle Mahowald

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SPEED: Specialized Position Experts for Efficient Speculative Decoding Langlin Huang, Chengsong Huang, Jixuan Leng, Di Huang, Jiaxin Huang

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Refusal Falls off a Cliff: How Safety Alignment Fails in Reasoning? Qingyu Yin, Chak Tou Leong, Wenxuan Huang, Jaehong Yoon, Linyi Yang, Xiting Wang, Wenjie Li, Jinjin Gu

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Liberating LLM Capabilities in Full-Duplex Speech Models Luoyuan Zhang, Bokai Xu, junbo Cui, Weiyue Sun, Yingjing Xu, Hanyu Liu, Yuan Yao

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Autonomy Reshapes How Personalization Affects Privacy Concerns and Trust in LLM Agents Zhiping Zhang, Yi E Zhang, Freda Shi, Tianshi Li

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MegaScience: Pushing the Frontiers of Open Post-Training Datasets for Science Reasoning Run-Ze Fan, Zengzhi Wang, Pengfei Liu

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Capability Provenance in Language Models: A Case Study in Social Reasoning Glenn Matlin, Chandreyi Chakraborty, Saehee Eom, Mika Okamoto, Rayan Castilla, Louis Jaburi, Alvin Deng, Taywon Min, Lucia Quirke, Stella Biderman, Mark Riedl

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Illusory Truth or Mere Exposure? Model-Dependent Repetition Effects in LLM-Based Social Media Simulations Azza Bouleimen, Nicolò Pagan, Ancsa Hannak

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Verb-ICL: Rethinking In-Context Learning for Structured Prediction Fan Bai, Hengshuo Miao, Sanjit S Batra, Hamid Reza Hassanzadeh, Ardavan Saeedi, Mark Dredze

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When to Call an Apple Red: Humans Follow Introspective Rules, VLMs Don’t Jonathan Nemitz, Carsten Eickhoff, Jessy Li, Kyle Mahowald, Michal Golovanevsky, William Rudman

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Many Ways to Be Fake: Benchmarking Fake News Detection Under Strategy-Driven AI Generation Xinyu Wang, Sai Koneru, Wenbo Zhang, Wenliang Zheng, Saksham Ranjan, Sarah Rajtmajer

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Rethinking Reward Supervision: Rubric-Conditioned Self-Distillation Siyi Gu, Jialin Chen, Sophia Zhou, Arman Cohan, Rex Ying

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Learning to Draw ASCII Improves Spatial Reasoning in Language Models Shiyuan Huang, Li Liu, Jincheng He, Leilani H Gilpin

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Penalizing Length: Uncovering Systematic Bias in Quality Estimation Metrics Yilin Zhang, Wenda Xu, Zhongtao Liu, Tetsuji Nakagawa, Markus Freitag

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Capacity-Dependent Effects of Data Selection for Mathematical Reasoning Cuong Dang, Hoang Anh Just, Ruoxi Jia

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Super Weights in LLMs and the Failure of Selective Training Shreyas Subramanian, Adewale Akinfaderin, Akarsha Sehwag

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Estimating near-verbatim extraction risk in language models with decoding-constrained beam search A. Feder Cooper, Mark Lemley, Christopher De Sa, Lea Duesterwald, Allison Casasola, Jamie Hayes, Katherine Lee, Daniel Ho, Percy Liang

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MMMG: A Comprehensive and Reliable Benchmark for Multitask Multimodal Generation Jihan Yao, Yushi Hu, Wenyuan Wang, Bin Han, Guang Yang, Yujie Yi, Shangbin Feng, Bingbing Wen, Ranjay Krishna, Lucy Lu Wang, Yulia Tsvetkov, Noah Smith, Banghua Zhu

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Fine-Tuning Was Not Broken but Diffuse: Precise Knowledge Editing via Projected Error Signals Shahar Katz, Avi Caciularu, Lior Wolf

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Lang-Prune: Unlocking Fair and Powerful Pruning for Multilingual Large Language Models Juhao Liang, Shiqi Zhang, Min Zhang, Hao Yang, Benyou Wang

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The Hidden Cost of Thinking: Energy Use and Environmental Impact of LMs Beyond Pretraining Jacob Morrison, Noah Smith, Emma Strubell

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Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs Gabrielle Liu, Avi Caciularu, Gal Yona, Idan Szpektor, Arman Cohan

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Syntax Without Semantics: Teaching LLMs to Code in an Unseen Language Vinayshekhar Bannihatti Kumar, Disha Makhija, Manoj Ghuhan Arivazhagan, Rashmi Gangadharaiah

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HarmThoughts: A Benchmark for Fine-Grained Harmful Behavior Detection in Reasoning Traces Ishita Kakkar, Enze Zhang, Rheeya Uppaal, Junjie Hu

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A Unified View of Attention and Residual Sinks: Outlier-Driven Rescaling is Essential for Large Language Model Training Zihan Qiu, Zeyu Huang, Kaiyue Wen, Peng Jin, Bo Zheng, Yuxin Zhou, Haofeng Huang, Zekun Wang, Xiao Li, Huaqing Zhang, Yang Xu, Haoran Lian, Siqi Zhang, Rui Men, jianwei zhang, Ivan Titov, Dayiheng Liu, Jingren Zhou, Junyang Lin

Conference

FlexSQL: Flexible Exploration and Execution Make Better Text-to-SQL Agents Quang Hieu Pham, Yang He, Ping Nie, Canwen Xu, Davood Rafiei, Yuepeng Wang, Xi Ye, Jocelyn Qiaochu Chen

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Attractor States Emerge in Multi-Turn LLM Conversations Ting-Wen Ko, Jonas Geiping

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HyperThink: Text-to-Parameter Hypernetworks for Efficient Reasoning Donggyun Kim, Jack Lu, Chanwoo Kim, Mengye Ren, Seunghoon Hong

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Large language models reorganize representational geometry during in-context learning Hua-Dong Xiong, Li Ji-An, Robert Wilson, Kwonjoon Lee, Xue-Xin Wei

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MELD: Multilingual Ensemble via Logical Debate Sehyeok Kang, Jaejun Ryu, Se-Young Yun

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Investigating Social Bias Changes in Quantized Large Language Models Stanley Hua, Sanae Lotfi, Irene Y Chen

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Understanding Machine Unlearning Through the Lens of Mode Connectivity Jiali Cheng, Hadi Amiri

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QualAlign: Benchmarking Automated Qualitative Coding Against Human Schemas Taggert Smith, Chuong Nguyen, Qisen Yang, Oishani Bandopadhyay, Yaru Su, Nadia Polikarpova, Xinyu Pi

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Meta-Reinforcement Learning with Self-Reflection for Agentic Search Teng Xiao, Yige Yuan, Hamish Ivison, Huaisheng Zhu, Faeze Brahman, Nathan Lambert, Pradeep Dasigi, Noah Smith, Hanna Hajishirzi

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BAS: A Decision-Theoretic Approach to Evaluating Large Language Model Confidence Sean Wu, Fredrik K Gustafsson, Edward Phillips, Boyan Gao, Anshul Thakur, David A Clifton

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Measuring Task-Agnostic Training Data Influence Across Language Model Pretraining Yuto Nishida, Hirokazu Kiyomaru, Yusuke Oda, Takashi Kodama, Chaoran Liu, Daisuke Kawahara, Yusuke Miyao, Max Müller-Eberstein, Masaru Isonuma

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VeriSoftBench: Repository-Scale Formal Verification Benchmarks for Lean Yutong Xin, Jocelyn Qiaochu Chen, Greg Durrett, Isil Dillig

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The Tool Illusion: Rethinking Tool Use in Web Agents Renze Lou, Baolin Peng, Wenlin Yao, Qianhui Wu, Hao Cheng, Suman Nath, Wenpeng Yin, Jianfeng Gao

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Chasing the Public Score: User Pressure and Evaluation Exploitation in Coding Agent Workflows Hardy Chen, Nancy Lau, Haoqin Tu, Shuo Yan, Xiangyan Liu, Zijun Wang, Juncheng Wu, Michael Q Shieh, Alvaro A Cardenas, Cihang Xie, Yuyin Zhou

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MetaLint: Easy-to-Hard Generalization for Code Linting Atharva Naik, Lawanya Baghel, Dhatchinamoorthi Kunde Govindarajan, Darsh Agrawal, Yiqing Xie, Daniel Fried, Carolyn Rose

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From Feelings to Metrics: Understanding and Formalizing How Users Vibe-Test LLMs Itay Itzhak, Eliya Habba, Gabriel Stanovsky, Yonatan Belinkov

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Don’t Lose the Thread: Empowering Long-Horizon LLM Agents with Cognitive Resource Self-Allocation Zheng Zhu, Xiaozhuan Liang, Xi Chen, Bei Yu, Jiaya Jia

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CCBench: Assessing LLM Cultural Competence via Implicitly Signaled Norms using Health Queries Vasudha Varadarajan, Akhila Yerukola, Mona Diab, Maarten Sap

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EvoLen: Evolution-Guided Tokenization for DNA Language Model Nan Huang, Xiaoxiao Zhou, Junxia Cui, Mario Tapia-Pacheco, Tiffany Amariuta, Yang E Li, Jingbo Shang

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Wiener Filtering for VLM Hallucination Suppression Ameen Ali, Tamim Zoabi, Lidor Brami, Lior Wolf

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Private-RAG: Answering Multiple Queries with LLMs while Keeping Your Data Differentially Private Ruihan Wu, Erchi Wang, Zhiyuan Zhang, Yu-Xiang Wang

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The Art of Building Verifiers for Computer Use Agents Corby Rosset, Pratyusha Sharma, Andrew Zhao, Miguel Gonzalez Fernandez, Ahmed H Awadallah

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Correct Answers from Sound Reasoning: Verifiable Process Supervision for Language Models Kyuyoung Kim, Kevin Wang, Yunfei Xie, Peiyang Xu, Peiyao Sheng, Chen Wei, Zhangyang Wang, Jinwoo Shin, Pramod Viswanath, Sewoong Oh

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TRIMS: Trajectory-Ranked Instruction Masked Supervision for Diffusion Language Models Lingjie Chen, Ruizhong Qiu, Yuyu Fan, Yanjun Zhao, Hanghang Tong

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Heard but Not Heeded: Paralinguistic Information Encoding and Loss in Audio-Language Models Bhuvan Koduru, Dareen Alharthi, Rita Singh, Bhiksha Raj

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Component and Dimension Sparsity in Transformer Refusal Mechanisms Vincent Siu, Glenn Grant-Richards, Vlad Pavlovich, Yizhou Sun, Dawn Song, Chenguang Wang

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MURMUR: Cross-Lingual and Multimodal Retrieval-Augmented Reasoning for Open Question Answering in Tamil and Yoruba Kiran Raja, Mobareji Abejide, Arya Ram, Utkarsh Sharma, Kevin Zhu

Conference

CT Open: An Open-Access, Uncontaminated, Live Platform for the Open Challenge of Clinical Trial Outcome Prediction Jianyou (Andre) Wang, Youze Zheng, Longtian Bao, Hanyuan Zhang, Qirui Zheng, Yuhan Chen, Yang Zhang, Matthew Feng, Maxim Khan, Aditya K Sehgal, Christopher Rosin, Ramamohan Paturi, Umber Dube, Leon Bergen

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Why Gaussian Diffusion Models Fail on Discrete Data? Alexander Shabalin, Simon Elistratov, Viacheslav Meshchaninov, Ildus Sadrtdinov, Dmitry Vetrov

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Apriel-Reasoner: RL Post-Training for General-Purpose and Efficient Reasoning Rafael Pardinas, Ehsan Kamalloo, David Vazquez, Alexandre Drouin

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REFRAMED: Towards Realistic Audio Description Generation for Movies Igor Sterner, Mirella Lapata, Alex Lascarides, Frank Keller

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NormViz: A Benchmark and Framework for Grounding Multimodal Reasoning in Global Cultures Akhila Yerukola, Fabrice Harel-Canada, Simran Khanuja, Abhinav S Rao, Ashima Suvarna, Nanyun (Violet) Peng, Saadia Gabriel, Maarten Sap

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One Word at a Time: Incremental Completion Decomposition Breaks LLM Safety Samee Arif, Naihao Deng, Zhijing Jin, Rada Mihalcea

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AlphaEval: Evaluating Agents in Production Pengrui Lu, Bingyu Xu, Wenjun Zhang, Shengjia Hua, Xuanjian Gao, Ranxiang Ge, Lyumanshan Ye, Linxuan Wu, Yiran Li, Junfei F Yu, Yibo Zhang, Ruixin Li, Manxiang Li, Xiao Han, Xiaocong Zhou, Guangyao Chi, Zisheng Chen, Kaishen Chen, Kun Wang, Qihua Xu, Fengyuemeng, Yuchen Ni, Jiajun Li, Jinxiu Liu, Danfeng Zhang, Jingru Zhao, Pengfei Liu

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Expert Threshold Routing for Autoregressive Language Modeling with Dynamic Computation Allocation and Load Balancing Hanchi Sun, Yixin Liu, Yonghui Wu, Lichao Sun

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Quokka: Accelerating Program Verification with LLMs via Invariant Synthesis Anjiang Wei, Tianran Sun, Tarun Suresh, Haoze Wu, Ke Wang, Alex Aiken

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DreamProver: Evolving Transferable Lemma Libraries via a Wake-Sleep Theorem-Proving Agent Youyuan Zhang, Jialiang Sun, Hangrui Bi, Chuqin Geng, Wenjie Ma, Zhaoyu Li, Xujie Si

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Reasoning Models Know What’s Important, and Encode It in Their Activations Yaniv Nikankin, Martin Tutek, Tomer Ashuach, Jonathan S Rosenfeld, Yonatan Belinkov

Conference

MechMath: Sorrifier-Driven Formal Decomposition Workflow for Automated Theorem Proving Ruichen Qiu, Yichuan Cao, Junqi Liu, Dakai Guo, Xiao-Shan Gao, Lihong Zhi, Ruyong Feng

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When Seeing Overrides Knowing: Visual Dominance and Deferral-Based Method for Personalized Safety in VLMs Edward Sun, Yuchen Wu, Zixian Ma, Eric H Jiang, Yijia Xiao, Xiaoyuan Yi, Ranjay Krishna, Wei Wang, Jindong Wang, Aylin Caliskan

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SynthDocBench: Controlled Benchmark for Long-Context Visual Document Understanding Abhigya Verma, Khyati Mahajan, Amit Kumar Saha, Shruthan Radhakrishna, Sagar Davasam, Vikas Yadav, Sai Rajeswar Mudumba

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Compliments to the Complementizer: Indirect Routing of Syntactic Structure in a Transformer Language Model Lasse van den Berg, Robert Frank

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The Embedder's Dilemma: LLMs Are Better, but at What Cost? Adnan El Assadi, Niklas Muennighoff, Jinhyuk Lee

Conference

Can Induced Emotion Bias LLM Behaviors in Sequential Decision Making? Minh Khoi Ho, Zihao Zhu, Runchuan Zhu, Levina Li, Zhiwen Fan, Zhangyang Wang, Junyuan Hong

Conference

Explainable AI-Generated Image Detection RewardBench Michael Yang, Shijian Deng, William T Doan, Kai Wang, Tianyu Yang, Harsh Singh, Yapeng Tian

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PromptNCE: Conditional Probabilities and PMI Using Only LLMs and Contrastive Estimation Prompts Juliette Woodrow, Christopher J Piech

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What Do Language Models Learn and When? The Implicit Curriculum Hypothesis Emmy Liu, Kaiser Sun, Millicent Li, Isabelle Lee, Lindia Tjuatja, Jen-tse Huang, Graham Neubig

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Failure-Aware Penetration Testing via Typed Failure Tokens: From Calibrated Prediction to Structured Recovery Lanxiao Huang, Darshan Nere, Tyler Cody, Peter A Beling, Ming Jin

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Latent Context Compilation: Distilling Long Context into Compact Portable Memory Zeju Li, Yizhou Zhou, Qiang Xu

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Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest Addison J. Wu, Ryan Liu, Stella Li, Yulia Tsvetkov, Thomas Griffiths

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LLM2Vec-Gen: Generative Embeddings from Large Language Models Parishad BehnamGhader, Vaibhav Adlakha, Fabian D Schmidt, Nicolas Chapados, Marius Mosbach, Siva Reddy

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RankGuide: Tensor-Rank-Guided Routing and Steering for Efficient Reasoning Jiayi Tian, Yupeng Su, Ryan Solgi, Souvik Kundu, Zheng Zhang

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Beyond Trajectory Imitation: Strategy-Guided Policy Optimization for LLM Reasoning tianyuan shi, Canbin Huang, Bei Li, Xin Chen, Xiaojun Quan, Jingang Wang, Qifan Wang

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In-context superposition: human-like working memory interference in large language models Hua-Dong Xiong, Li Ji-An, Jiaqi Huang, Robert Wilson, Kwonjoon Lee, Xue-Xin Wei

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The Depth Ceiling: On the Limits of Large Language Models in Discovering Latent Planning Yi Xu, Philipp Jettkant, Laura Ruis

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Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models Ken Tsui

Conference

Peer-Predictive Self-Training for Language Model Reasoning Shi Feng, Hanlin Zhang, Fan Nie, Sham Kakade, Yiling Chen

Conference

Aligning Language Models from User Interactions Thomas Kleine Buening, Jonas Hübotter, Barna Pásztor, Idan Shenfeld, Giorgia Ramponi, Andreas Krause

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CivBench: Progress-Based Evaluation for LLMs' Strategic Decision-Making in Civilization V John Chen, Sihan Cheng, Can Gurkan, Mingyi Lin

Conference

Grammatical ``grandmother neurons'' are rare in LLMs Linyang He, Nima Mesgarani

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Delay, Plateau, or Collapse: Evaluating the Impact of Systematic Verification Error on RLVR Kazuki Egashira, Mark Vero, Jasper Dekoninck, Florian E Dorner, Robin Staab, Martin Vechev

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The Finetuner’s Fallacy: When to Pretrain with Your Finetuning Data Christina Baek, Ricardo P Monti, David J Schwab, Amro Abbas, Rishabh Adiga, Cody Blakeney, Maximilian Böther, Paul Burstein, Aldo G Carranza, Alvin Deng, Parth Doshi, Vineeth Dorna, Alex Fang, Tony Jiang, Siddharth Joshi, Brett W Larsen, Jason C Lee, Katherine L Mentzer, Luke Merrick, Haakon Mongstad, Fan Pan, Anshuman Suri, Darren Teh, Jason Telanoff, Jack Urbanek, Zhengping Wang, Josh Wills, Haoli Yin, Aditi Raghunathan, J Kolter, Bogdan Gaza, Ari S Morcos, Matthew L Leavitt, Pratyush Maini

Conference

Decoupled Alignment for Robust Plug-and-Play Adaptation Haozheng Luo, Jiahao Yu, Wenxin Zhang, Jialong Li, Chenghao Qiu, Yimin Wang, Eric H Jiang, Jerry Y Hu, Yan Chen, Binghui Wang, Xinyu Xing, Han Liu

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Towards Query-Agnostic RAG Evaluation via Query Coverage and Claim Verifiability Jeonghwan Choi, Taewon Yun, Minjeong Ban, Gyeonghun Sun, Jae-Gil Lee, Hwanjun Song

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Judge, Retrieve, or Abstain: Uncertainty-Guarded LLM Judging with Provable Risk Guarantees Sher Badshah, Ali Emami, Hassan Sajjad

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It Takes One to Bias Them All: Breaking Bad with One-Shot GRPO Naihao Deng, Yilun Zhu, Naichen Shi, Clayton Scott, Rada Mihalcea

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ExpertWeave: Efficiently Serving Expert-Specialized Fine-Tuned Adapters at Scale Ge Shi, Hanieh Sadri, Qian Wang, Yu Zhang, Ying Xiong, Yong Zhang, Zhenan Fan

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What Makes Good Multilingual Reasoning? Disentangling Reasoning Traces with Measurable Features Dayeon Ki, Kevin Duh, Marine Carpuat

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Measuring Nines of Reliability: Sample-Efficient LLM Evaluation in Saturated GSM Benchmarks Eungyeup Kim, Chenchen Gu, Vashisth Tiwari, J Kolter

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EvoSkill: Automated Skill Discovery for Multi-Agent Systems Salaheddin Alzubi, Noah Provenzano, Jaydon Bingham, Christian A Calvo, Weiyuan Chen, Tu Vu

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Back to Basics: Revisiting ASR in the Age of Voice Agents Geeyang Tay, Wentao Ma, Jaewon Lee, Yuzhi Tang, Daniel Lee, Weisu Yin, Dongming Shen, Silin Meng, Yi Zhu, Mu Li, Alex Smola

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Cracks in the Foundation: Seemingly Minor Architectural Choices Impact Long Context Extension Amanda Bertsch, Luca Soldaini, Matthew R Gormley, Graham Neubig, Hanna Hajishirzi, Kyle Lo, Dirk Groeneveld

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QED-Nano: Teaching a Tiny Model to Prove Hard Theorems Yuxiao Qu, Amrith Setlur, Jasper Dekoninck, Edward E Beeching, Jia LI, Ian Wu, Lewis Tunstall, Aviral Kumar

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IndexCache: Accelerating Sparse Attention via Cross-Layer Index Reuse Yushi Bai, Qian Dong, Ting Jiang, Xin Lv, Zhengxiao Du, Aohan Zeng, Jie Tang, Juanzi Li

Conference

Faithful GRPO: Improving Visual Spatial Reasoning in Multimodal Language Models via Constrained Policy Optimization Sai Srinivas Kancheti, Aditya S Kanade, Rohit Sinha, Vineeth N Balasubramanian, Tanuja Ganu

Conference

Multilingual Agent-Based World Modeling for Social Science Xuan Zhang, Wenxuan Zhang, Anxu Wang, See-Kiong Ng, Yang Deng

Conference

AnchorBench: A Multi-Pathway Benchmark for the Anchoring Effect in LLMs Yiderigun Borjigin, Alexander Hermann, Christian J Cyron, Roland Aydin

Conference

Optical Context Compression Is Just (Bad) Autoencoding Ivan Lee, Cheng Yang, Taylor Berg-Kirkpatrick

Conference

Identifying Introspection From the Inside David Atkinson, Dillon Plunkett, David Bau

Conference

Disentangling the Expressivity of RoPE Selim Jerad, Anej Svete, Jiaoda Li, Ryan Cotterell

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AdaPlanBench: Evaluating Adaptive Planning in Large Language Model Agents under World and User Constraints Jiayu Liu, Cheng Qian, Zhenhailong Wang, Bingxuan Li, Jiateng Liu, Qing Zong, Heng Wang, Jeonghwan Kim, Yumeng Wang, Bingxiang He, Xiusi Chen, Yi Fung, Heng Ji

Conference

Token-Level Control or Just a Better Mean? Isolating the Gains of Adaptive Decoding Qingyun Li, Ruoyun Li

Conference

Multimodal Language Models Cannot Spot Spatial Inconsistencies Om Khangaonkar, Hadi J Rad, Hamed Pirsiavash

Conference

The Illusion of Stochasticity in LLMs Xiangming Gu, Soham De, Michalis Titsias, Larisa Markeeva, Petar Veličković, Razvan Pascanu

Conference

Agent Alpha: Unifying Generation, Exploration and Evaluation via Tree Search for Computer-Use Solution Discovery Sizhe Tang, Rongqian chen, Tian Lan

Conference

MonitorBench: A Comprehensive Benchmark for Chain-of-Thought Monitorability in Large Language Models Han Wang, Yifan Sun, Brian Ko, Mann Talati, Jiawen Gong, Zimeng Li, Naicheng Yu, Xucheng Yu, Wei Shen, Vedant Jolly, Huan Zhang

Conference

Smarter by the Moment: Environment-Driven Dynamic Policies for Continual LLM Improvement Ting-Wei Chang, Po-Chun Chen, Hen-Hsen Huang, Hsin-Hsi Chen

Conference

Neuro-symbolic PRM: Enhancing Scientific Reasoning via Structured Traces and Symbolic Verification Yuxin Zi, Cong Xu, Suparna Bhattacharya, Martin Foltin, Amit Sheth

Conference

Do Humans and LLMs Diverge in Belief Revision? Evidence from a Bayesian Analysis Stylianos Loukas Vasileiou, Antonio Rago, Maria Vanina Martinez, William Yeoh

Conference

Length Value Model: Scalable Value Pretraining for Token-Level Length Modeling Zhen Zhang, Changyi Yang, Zijie Xia, Zhen Yang, Chengzhi Liu, Zhaotian Weng, Yepeng Liu, Haobo Chen, Jin Pan, Chenyang Zhao, Yuheng Bu, Alkesh Patel, Zhe Gan, Eric Wang

Conference

Reasoning on a Spectrum: Aligning LLMs to System 1 and System 2 Thinking Alireza Salkhordeh Ziabari, Nona Ghazizadeh, Zhivar Sourati, Farzan K Malekabadi, Payam Piray, Morteza Dehghani

Conference

Compared to What? Baselines and Metrics for Counterfactual Prompting Zihao Yang, Mosh Levy, Yoav Goldberg, Byron Wallace

Conference

Should We be Pedantic About Reasoning Errors in Machine Translation? Calvin Bao, Marine Carpuat

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MaLA: A Corpus and Data Mix for Massive Language Adaptation of Large Language Models Shaoxiong Ji, Zihao Li, Jaakko Paavola, Peiqin Lin, Pinzhen Chen, Dayyán O'Brien, Hengyu Luo, Hinrich Schuetze, Jörg Tiedemann, Barry Haddow

Conference

Co-Director: Agentic Generative Video Storytelling Yale Song, Yiwen Song, Nick Losier, Nathan Hodson, Ye Jin, Rhyard Zhu, Yan Xu, Daniel Vlasic, Carina Claassen, Jasmine Leon, Khanh G LeViet, Zack Chomyn, Joe Timmons, Brett Slatkin, Scott Penberthy, Tomas Pfister

Conference

Steering Instruction Hierarchies at Inference Time Siqi Zeng, Sewoong Lee, Han Zhao, Julia Hockenmaier

Conference

Loop, Think, & Generalize: Implicit Reasoning in Recurrent-Depth Transformers Harsh Kohli, Srinivasan Parthasarathy, Huan Sun, Yuekun Yao

Conference

Automatic Generation of High-Performance RL Environments Seth Karten, Rahul Dev Appapogu, Chi Jin

Conference

When RAG Fails to Equalize: Geo-bias in Factual Question Answering over Public Companies Abhinav Havaldar, Enrico Santus

Conference

Uncertainty-Aware Variational Reward Factorization via Probabilistic Preference Bases for LLM Personalization Gyuseok Lee, Wonbin Kweon, Zhenrui Yue, SeongKu Kang, Jiawei Han, Dong Wang

Conference

Cylon: Asynchronous Linear Attention Alexander Waitz, William Hu, Benjamin F Spector, Atri Rudra, Christopher Re, Simran Arora

Conference

LLMs Exhibit Significantly Lower Uncertainty in Creative Writing Than Professional Writers Patrick Sui

Conference

Auditing Moderation Robustness Under Realistic Settings Bargav Jayaraman, Hamid Mozaffari, Virendra Marathe, Swetasudha Panda

Conference

DeliveryBench: Can Agents Earn Profit in Simulated Worlds? Lingjun Mao, Jiawei Ren, Jixuan Chen, Ziqiao Ma, Kun Zhou, Lianhui Qin

Conference

Cost-Efficient Estimation of General Abilities Across Benchmarks Michael Krumdick, Adam Wiemerslage, Seth Ebner, Charles Lovering, Chris Tanner

Conference

Mitigating LLM biases toward spurious social contexts using direct preference optimization Hyunji (Alex) Nam, Dorottya Demszky

Conference

Superposition Without Interference? Towards Isolated Interventions via Almost Orthogonal Features in Language Models Moritz Miller, Florent Draye, Bernhard Schölkopf

Conference

Learning Reusable Program Transformations via LLM-Guided Rule Synthesis Avaljot Singh, Dushyant Bharadwaj, Stefanos Baziotis, Kaushik Varadharajan, Charith Mendis

Conference

Struct-Searcher: Agentic Structural Thinking Advances Multimodal Deep Information Seeking Fan Zhang, Guibin Zhang, Shengju Qian, Haoxuan Li, Zheng Lian, Hao Wu, Yuan Gao, Xinyu Geng, Xin WANG, Pheng-Ann Heng

Conference

SERUM: State Extraction and Refinement for User Modeling Andy J Phu, Karin De Langis, James Mooney, Khanh Chi Le, Dongyeop Kang

Conference

What AI Benchmarks Actually Measure: Adapting Convergent and Discriminant Validity to Interrogate Fifty-Six AI Benchmarks Meera Desai, Sang Truong, Hanna Wallach, Alex Chouldechova, A. Feder Cooper, Jean Garcia-Gathright, Daniel Ho, Abigail Z Jacobs, Sanmi Koyejo, Nicholas Pangakis, Angelina Wang

Conference

Agent Psychometrics: Task-Level Performance Prediction in Agentic Coding Benchmarks Chris Ge, Daria Kryvosheieva, Daniel Fried, Uzay Girit, Kaivalya Hariharan

Conference

FLY-EVAL++: Evidence-Based Evaluation for Safety-Constrained Modeling in Embodied Systems Yalun Wu, Junfeng Fang, Jiawei Wang, Haotian Liu, Qijun Yang, Minghan Yang, Hongcheng Guo, Zhoujun Li, Boyang Wang

Conference

Effective Strategies for Asynchronous Software Engineering Agents Jiayi Geng, Graham Neubig

Conference

Distributed Attacks in Persistent-State AI Control Josh Hills, Ida Caspary, Asa Cooper Stickland

Conference

Why Do Reasoning Models Lose Coverage? The Role of Data and Forks in the Road Hieu N. Nguyen, Parshin Shojaee, Nguyen M Phuc, Nan Zhang, Chandan Reddy, Khoa D Doan, Rui Zhang

Conference

No Free Labels: Limitations of LLM-as-a-Judge Without Human Grounding Michael Krumdick, Charles Lovering, Varshini Reddy, Seth Ebner, Chris Tanner

Conference

CIDER: A Dataset of Contextual Disclosure Boundaries for Privacy Preference Alignment Bingcan Guo, Eryue Xu, Jijie Zhou, Zhiping Zhang, Tianshi Li

Conference

Whose Standpoint do LLMs Reflect? Surfacing and Mitigating Epistemic Blindspots Julius Broomfield, Kartik Sharma

Conference

MedConceal: A Benchmark for Clinical Hidden-Concern Reasoning Under Partial Observability Yikun Han, Joey Chan, Jingyuan Chen, Mengting Ai, Simo Du, Yue Guo

Conference

$\pi^2$: Structure-Originated Reasoning Data Improves Long-Context Reasoning Ability of Large Language Models Quyet V. Do, Thinh Pham, Nguyen P Nguyen, Sha Li, Pratibha Zunjare, Tu Vu

Conference

Restoring Generalization in Fine-tuned Multimodal LLMs via Geometric Alignment Lixuan He, Shikang Zheng, Guantao Chen

Conference

iOSWorld: A Realistic iOS Environment for Benchmarking Phone Agents with Personalized User Identity and Memory Lawrence Keunho Jang, Mareks Woodside, Geronimo Carom, Andrew K Jang, Jing Yu Koh, Ruslan Salakhutdinov

Conference

Routing Entropy: A Hidden Self-Verifier for Free in Mixture-of-Experts LLMs Zhongyang Li, Ziyue Li, Tianyi Zhou

Conference

CuSearch: Curriculum Rollout Sampling via Search Depth for Agentic RAG Jianghan Shen, Siqi Luo, Xinyu Cheng, Jing Xiong, Yue Li, Jiyao Liu, Jiashi Lin, Yirong Chen, Junjun He

Conference

When Prompts Interact: Assessing Prompt Arithmetic for Deconfounding under Distribution Shift Zhecheng Sheng, Yongsen Tan, Xiruo Ding, Trevor Cohen, Serguei V Pakhomov

Conference

Beyond Black-Box Obfuscation: Mechanistic Analysis and Defense of White-Box Monitors Maheep Chaudhary, Fazl Barez

Conference

RL-VLA$^3$: A Flexible and Asynchronous Reinforcement Learning Framework for VLA Training Haoran Sun, Yongjian Guo, Zhong Guan, shuai di, Xiaodong Bai, Jing Long, Tianyun Zhao, LUOMINGXI, Xiaotie Deng, Xu Chu, Hongke Zhao, Likang Wu, Xi Xiao, Sheng Wen, Yicheng Gong, Xiong J Wu

Conference

GRIP: Algorithm-Agnostic Machine Unlearning for Mixture-of-Experts via Geometric Router Constraints Andy Zhu, Rongzhe Wei, Yupu Gu, Pan Li

Conference

MolDesignBench: Evaluating LLM-based Agent for Scenario- grounded Molecular Design Yongjun Jeong, Hanbum Ko, Ye R Kim, Chanhui Lee, Rodrigo Hormazabal, Jaewan Lee, Sehui Han, Sungbin Lim, Sungwoong Kim

Conference

Self-Evolving Curriculum for LLM Reasoning Xiaoyin Chen, Jiarui Lu, Minsu Kim, Dinghuai Zhang, Jian Tang, Alexandre Piché, Nicolas Gontier, Yoshua Bengio, Ehsan Kamalloo

Conference

Reward Hacking in Language Model Agents: Revisiting AI Safety Gridworlds Ömer Çağatan, Xuandong Zhao

Conference

Pando: Do Interpretability Methods Work When Models Won't Explain Themselves? Ziqian Zhong, Aashiq Muhamed, Mona Diab, Virginia Smith, Aditi Raghunathan

Conference

Source-Modality Monitoring in Vision-Language Models Etha Tianze Hua, Tian Yun, Ellie Pavlick

Conference

The Optimizer Is the Agent: Reasoning-Driven Search across Prompts, Programs, and ML Workflows Junbo Li, Boyi Liu, Canwen Xu, Yite Wang, Yuxiong He, Zhangyang Wang, qiang liu, Zhewei Yao

Conference

Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts Jacob Morrison, Sanjay Adhikesaven, Akshita Bhagia, Matei Zaharia, Noah Smith, Sewon Min

Conference

SkillFlow: Scalable and Efficient Agent Skill Retrieval System Fangzhou Li, Pagkratios Tagkopoulos, Ilias Tagkopoulos

Conference

PivotRL: High Accuracy Agentic Post-Training at Low Compute Cost Junkeun Yi, Damon Mosk-Aoyama, Baihe Huang, Ritu Gala, Charles Wang, Sugam Devare, Khushi Bhardwaj, Abhibha Gupta, Oleksii Kuchaiev, Jiantao Jiao, Jian Zhang, Venkat Krishna Srinivasan

Conference

RIMS: Preference Optimization via Smoothed Multi-pair Aggregation for Small-Scale LLM Retrieval-Augmented Generation Pei Tian, Zihan Dong, Tianci Liu, Linjun Zhang, Haoyu Wang

Conference

The Collaboration Gap: Exploration and Benchmarking of Open-World Agentic Cooperation Tim R Davidson, Adam Fourney, Saleema Amershi, Robert West, Eric Horvitz, Ece Kamar

Conference

Curriculum Learning as Transport: Understanding Curricula with Wasserstein Geodesics Changho Shin, David Alvarez-Melis

Conference

TrailBlazer: History-Guided Reinforcement Learning for Black-Box LLM Jailbreaking Sung-Hoon Yoon, Ruizhi Qian, Minda Zhao, Weiyue Li, Mengyu Wang

Conference

Trie Automata for Constrained Decoding over Large Finite Sets Xingzi Xu, Karim Bouyarmane

Conference

Fragility Under Pressure: Evaluating the Iterative Stability of LLMs in Constrained Interactive Coding Zhuoheng Han, Jin-Ge Yao, Zailong Tian, Xi Yang, Houfeng Wang

Conference

DeepScholar-Bench: A Live Benchmark for Automated Evaluation of Generative Research Synthesis Liana Patel, Negar Arabzadeh, Harshit Gupta, Ankita Sundar, Alon Y Halevy, Ion Stoica, Matei Zaharia, Carlos Guestrin

Conference

Asymmetric Idiosyncrasies in Multimodal Models Muzi Tao, Chufan Shi, Huijuan Wang, Shengbang Tong, Xuezhe (Max) Ma

Conference

Domain-Aware Scaling Laws Uncover Data Synergy Kimia Hamidieh, Lester Mackey, David Alvarez-Melis

Conference

Benchmarking of Automated Assessment of K-5 Student Narratives Using Large Language Models Saman Enayati, Elmira Talebianaraki, Ziyu Yang, Slobodan Vucetic, Trina D Spencer

Conference

PolicyBank: Evolving Policy Understanding for LLM Agents Jihye Choi, Jinsung Yoon, Long T. Le, Somesh Jha, Tomas Pfister

Conference

Analysis of Optimality of Large Language Models on Planning Problems Bernd Bohnet, Michael C Mozer, Aaron T Parisi, Kevin Swersky, William A Cunningham, Kathleen Kenealy, Noah Fiedel

Conference

Model Merging via Data-Free Covariance Estimation Marawan Gamal, Derek Tam, Pascal J Notsawo, Colin Raffel, Guillaume Rabusseau

Conference

Playing Along: Learning a Double-Agent Defender for Belief Steering via Theory of Mind Hanqi Xiao, Vaidehi Patil, Zaid Khan, Hyunji Lee, Elias Stengel-Eskin, Mohit Bansal

Conference

Matching Accuracy, Different Geometry: Evolution Strategies vs GRPO in LLM post-training William Hoy, Binxu Wang, Xu Pan

Conference

Pinocchio: Fast Uncertainty Estimates for Black-Box Language Models Kevin D Hayes, Arka Pal, Haosong Zhang, Tom Goldstein, Micah Goldblum

Conference

CeRA: Breaking the Linear Ceiling of Low-Rank Adaptation with Non-linearity Retained at Inference Hung-Hsuan Chen

Conference

Towards Active Synthetic Data Generation for Finetuning Language Models Samuel Kessler, Menglin Xia, Daniel Madrigal, Dongge Han, Helia Hashemi, Saravan Rajmohan, Victor Rühle, Jordan T Ash

Conference

RealUserSim: Bridging the Reality Gap in Agent Benchmarking via Grounded User Simulation Ming Zhu, Juntao Tan, Rithesh Murthy, Jielin Qiu, Liangwei Yang, Wenting Zhao, Silvio Savarese, Shelby Heinecke, Huan Wang

Conference

TowerVision: Understanding and Improving Multilinguality in Vision-Language Models Andre G Viveiros, Patrick Fernandes, Saul Santos, Sonal Sannigrahi, Emmanouil Zaranis, Nuno Guerreiro, Amin Farajian, Graham Neubig, Andre Martins

Conference

Beyond the Rosetta Stone: Unification Forces in Generalization Dynamics Carter Blum, Katja Filippova, Ann Yuan, Asma Ghandeharioun, Julian Zimmert, Fred Zhang, Jessica Hoffmann, Tal Linzen, Martin Wattenberg, Lucas Dixon, Mor Geva

Conference

Procedural Knowledge at Scale Improves Reasoning Di Wu, Devendra Singh Sachan, Scott Yih, Mingda Chen

Conference

SkillLearnBench: Benchmarking Continual Learning Methods for Agent Skill Generation on Real-World Tasks Shanshan Zhong, Yi Lu, Jingjie Ning, Yibing Wan, Lihan Feng, Yuyi Ao, Leonardo F Ribeiro, Markus Dreyer, Sean Ammirati, Chenyan Xiong

Conference

From Individuals to Interactions: Benchmarking Gender Bias in Multimodal Large Language Models Through the lens of Social Relationship Yue Xu, Wenjie Wang

Conference

MTA-Agent: An Open Recipe for Multimodal Deep Search Agents XIANGYU PENG, Can Qin, An Yan, Xinyi Yang, Ran Xu, Zeyuan Chen, Chien-Sheng Wu

Conference

TritonRL: Training LLMs to Think and Code Triton Without Cheating Jiin Woo, Shaowei Zhu, Allen Nie, Zhen Jia, Yida Wang, Youngsuk Park

Conference

Shared Circuits for Shared Grammar: Tracing Subject-Verb Agreement Across Languages Isabella Gidi, Antonio Almudévar, Core Francisco Park, Naomi Saphra, Ricard Marxer

Conference

TRUST: A Crowdsourcing Framework for Auditing Large Language Model Reasoning Yu-Chao Huang, Zhen Tan, Mohan Zhang, Pingzhi Li, Zhuo Zhang, Tianlong Chen

Conference

VERIFY A Benchmark of Visual Reasoning for Multimodal Reasoning Fidelity Jing Bi, JunJia Guo, Guangyu Sun, Susan Liang, Luchuan Song, Yolo Y Tang, Jinxi He, Jiarui Wu, Ali Vosoughi, Chen Chen, Jason J Corso, Chenliang Xu

Conference

SimulRAG: Simulator-based RAG for Grounding LLMs in Long-form Scientific QA Haozhou Xu, Dongxia Wu, Matteo Chinazzi, Ruijia Niu, Rose Yu, Yian Ma

Conference

Toward Scalable Terminal Task Synthesis via Skill Graphs Zhiyuan Fan, TingHao YU, Yuanjun Cai, Jiangtao Guan, Yun Yang, Dingxin Hu, Xing Wu, Zhuo Han, feng zhang, Lilin Wang

Conference

CT-$\Delta$Bench: A Benchmark for Longitudinal 3D Medical Imaging Difference Reporting with Vision-Language Models Kegeng Tang, Jingbo Wang, Shaogang Ren, Zihao WANG

Conference

Commitment To Cooperation With Self-Negotiated Contracts Tim Wyse, Kaitlin Bustos, Yulia Volkova, Max Kleiman-Weiner

Conference

Reach Into The Choir: Free-List Elicitation Uncovers Distinct Model Voices in LLM Ensembles Ben Wigler, Maria Tsfasman

Conference

Language Models Might Not Understand You: Evaluating Theory of Mind via Story Prompting Nathaniel Getachew, Abulhair Saparov

Conference

A Rubric-Supervised Critic from Sparse Real-World Outcomes Xingyao Wang, Valerie Chen, Heng Ji, Graham Neubig

Conference

Think Right: Learning to Mitigate Under-Over Thinking via Adaptive, Attentive Compression Joykirat Singh, Justin Chen, Archiki Prasad, Elias Stengel-Eskin, Akshay Nambi, Mohit Bansal

Conference

Behavioral Canaries: Auditing Private Retrieved Context Usage in RL Fine-Tuning Chaoran Chen, Dayu Yuan, Peter Kairouz

Conference

Conversation as Measurement in Clinical Encounters: Observable Phase Structure, Partially Observable Patient State Lily Chen, Ted Mau, Michael Gensheimer, Brian A Nuyen, Nancy Jiang, James Zou

Conference

CABLE: Extending the Reach of Memory Retrieval via Complementary Antecedent-Based Linking and Expansion Zheling Tan, Jin Gao, Dequan Wang

Conference

Evaluating and Mitigating Misgendering in English-to-Hindi Machine Translation Shreyas Gantayet, Chavi Gupta, Samyak Savi, Tanay Sodha, Dhruv Kumar

Conference

Alignment Whack-a-Mole : Finetuning Activates Verbatim Recall of Copyrighted Books in Large Language Models Xinyue Liu, Niloofar Mireshghallah, Jane C Ginsburg, Tuhin Chakrabarty

Conference

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU Zhengqing Yuan, Hanchi Sun, Lichao Sun, Yanfang (Fanny) Ye

Conference

Bottom-Up Interpretability of Pretraining Dynamics via Loss Curve Decomposition Koshiro Aoki, Masaru Isonuma, Max Müller-Eberstein, Yusuke Oda, Hirokazu Kiyomaru, Takashi Kodama, Chaoran Liu, Yohei Oseki, Yusuke Miyao, Daisuke Kawahara

Conference

Thought-Level Beam Search for Reasoning Lijie Yang, Hongyin Luo, Jiawei Zhao, Tri Dao, Ravi Netravali

Conference

Fractured Chain-of-Thought Reasoning Baohao Liao, Hanze Dong, Yuhui Xu, Doyen Sahoo, Christof Monz, Junnan Li, Caiming Xiong

Conference

Free(): Learning to Forget in Malloc-Only Reasoning Models Yilun Zheng, Dongyang Ma, Tian Liang, Jiahao Xu, Xinting Huang, Lihui Chen, Haitao Mi, Yan Wang

Conference

Uniform Information Density-Based Preference Optimization Yongyuan Li, Yang Xu

Conference

Teaching Pretrained Language Models to Think Deeper with Retrofitted Recurrence Sean McLeish, Ang Li, John Kirchenbauer, Dayal Singh Kalra, Brian R Bartoldson, Bhavya Kailkhura, Avi Schwarzschild, Jonas Geiping, Tom Goldstein, Micah Goldblum

Conference

Ill-Defined Math: Benchmarking LLM Reasoning Beyond Well-Defined Problems Huaibo Chen, Yixiao Lin, Zihan Zhao, Pengcheng Chen, Nuohao Liu, Yue Hu, Qian Xie, Qinbo Bai, Ning Yan, Masood S. Mortazavi, KAMAL YOUCEF-TOUMI

Conference

WebChoreArena: Evaluating Web Browsing Agents on Realistic Tedious Web Tasks Atsuyuki Miyai, Zaiying Zhao, Kazuki Egashira, Atsuki Sato, Tatsumi Sunada, Shota Onohara, Hiromasa Yamanishi, Mashiro Toyooka, Kunato Nishina, Ryoma Maeda, Kiyoharu Aizawa, Toshihiko Yamasaki

Conference

Inference-Time Scaling of Diffusion Language Models via Trajectory Refinement Meihua Dang, Jiaqi Han, Minkai Xu, Kai Xu, Akash Srivastava, Stefano Ermon

Conference

Pixel-SAIL: Single Transformer For Pixel-Grounded Understanding Tao Zhang, Xiangtai Li, Zilong Huang, Yanwei Li, Xueqing Deng, Weixian Lei, Shihao Chen, Shunping Ji, Jiashi Feng

Conference

SciTaRC: A Plan-Annotated Scientific Tabular QA Benchmark for Language Reasoning and Complex Computation Hexuan Wang, Yaxuan Ren, Srikar Bommireddypalli, Shuxian Chen, Adarsh Prabhudesai, Rongkun Zhou, Elina Baral, Philipp Koehn

Conference

Context-based normative simulacra from narrative fiction Matt Franchi, Madiha Zahrah Choksi, Harold Triedman, Helen Nissenbaum

Conference

Process-Oriented Evaluation of AI-Assisted Scientific Writing Patrick Da Silva, Sanchaita Hazra, Doeun Lee, Sachin Kumar, Bodhisattwa Prasad Majumder

Conference

MoRE: Mixture of Reused Experts Eric S. Qiu, Utku U ACIKALIN, Justin Lovelace, Christian Belardi, Arjun B Mulchandani, Carla P Gomes, Kilian Weinberger

Conference

Token-Level Off-Policy Learning for Faithful Generation Under Distribution Shift Zitong Huang, Gustavo A de Carvalho, Deqing Fu, Robin Jia

Conference

Qworld: Question-Specific Evaluation Criteria for LLMs Yuchang Su, Shanghua Gao, Pengwei Sui, Curtis R Ginder, Marinka Zitnik

Conference

TRIDENT: Benchmarking LLM Safety in Finance, Medicine, and Law Zheng Hui, Yijiang R Dong, Ehsan Shareghi, Nigel Collier

Conference

Learning to Refer from Estimated Listener Gaze Téa Wright, Alane Suhr

Conference

CocoaBench: Evaluating unified digital agents in the wild Shibo Hao, Zhining Zhang, Zhiqi Liang, Tianyang Liu, Yuheng Zha, Qiyue Gao, Jixuan Chen, Zilong Wang, Zhoujun Cheng, Haoxiang Zhang, Junli Wang, Hexi Jin, Boyuan Zheng, Kun Zhou, Yu Wang, Feng Yao, Licheng Liu, Yijiang Li, Zhifei Li, Zhengtao Han, Pracha Promthaw, Tommaso Cerruti, Xiaohan Fu, Ziqiao Ma, Jingbo Shang, Lianhui Qin, Julian McAuley, Eric Xing, Zhengzhong Liu, Rupesh K Srivastava, Zhiting Hu

Conference

Constraint decay: The Fragility of LLM Agents in Backend Code Generation Francesco Dente, Dario Satriani, Paolo Papotti

Conference

Variational Co-Evolution via Reinforcement Learning Qiahao Zheng, Hancong Jin, Junbo Niu, Yinjie Wang, Wentao Zhang, Ruixun Zhang

Conference

PISmith: Reinforcement Learning-based Red Teaming for Prompt Injection Defenses Chenlong Yin, Runpeng Geng, Yanting Wang, Jinyuan Jia

Conference

Thinking to Recall: How Reasoning Unlocks Parametric Knowledge in LLMs Zorik Gekhman, Roee Aharoni, Eran Ofek, Mor Geva, Roi Reichart, Jonathan Herzig

Conference

CARV: A Diagnostic Benchmark for Compositional Analogical Reasoning in Multimodal LLMs Yongkang Du, Xiaohan Zou, Minhao Cheng, Lu Lin

Conference

GRADE: Probing Knowledge Gaps in LLMs through Gradient Subspace Dynamics Yujing Wang, Yuanbang Liang, Yu-Kun Lai, Hainan Zhang, Hanqi Yan

Conference

Can LLMs Introspect? A Reality Check Shashwat Singh, Tal Linzen, Shauli Ravfogel

Conference

VehicleMemBench: An Executable Benchmark for Multi-User Long-Term Memory in In-Vehicle Agents Yi Xu, Xinyun Ding, Xiang Fang, Shuochen Liu, Luxi Lin, Qingyu Zhang, Ya Li, Quan Liu, Tong Xu

Conference

Training Agents to Self-Report Misbehavior Bruce W Lee, Chen Yueh-Han, Tomek Korbak

Conference

A Unified Model and Document Representation for On-Device Retrieval-Augmented Generation Julian Killingback, Ofer Meshi, Henry Li, Hamed Zamani, Maryam Karimzadehgan

Conference

Hallucination Self-Play: Bootstrapping Reinforced Detector via Evolved Generator Shiping Yang, Shining Liang, Weihao Liu, Wenbiao Ding, Linjun Shou, Lu Cheng, Angel X Chang

Conference

Path-Constrained Mixture-of-Experts Zijin Gu, Tatiana Likhomanenko, Vimal Thilak, Jason Ramapuram, Navdeep Jaitly

Conference

Odysseys: Benchmarking Web Agents on Realistic Long Horizon Tasks Lawrence Keunho Jang, Jing Yu Koh, Daniel Fried, Ruslan Salakhutdinov

Conference

NIRVANA: Structured Pruning Reimagined for Large Language Model Compression Mengting Ai, Tianxin Wei, Sirui Chen, Jingrui He

Conference

Who Checks the Citations? Benchmarking Legal Hallucination Detection Patty Liu, Dominik Stammbach, Peter Henderson

Conference

Evolving Programmatic Skill Networks Haochen Shi, Xingdi Yuan, Bang Liu

Conference

Memorization Dynamics in Knowledge Distillation for Language Models Jaydeep Borkar, Karan Chadha, Niloofar Mireshghallah, Yuchen Zhang, Irina-Elena Veliche, Archi Mitra, David A Smith, Zheng Xu, Diego Garcia-Olano

Conference

Activation Steering for Aligned Open-ended Generation without Sacrificing Coherence Niklas Herbster, Martin Zborowski, Alberto Tosato, Gauthier Gidel, Tommaso Tosato

Conference

Reasoning Fine-Tuning Induces Persistent Latent Policy States Abir Harrasse, Michael Lan, Hunar Batra, Fateme Hashemi Chaleshtori, Chaithanya Bandi

Conference

ArtifactLinker: Linking Scientific Artifacts for Automatic State-of-the-art Discovery Haofei Yu, Jiaxuan You, Peter Clark, Bodhisattwa Prasad Majumder, Kyle Richardson

Conference

ADAG: Automatically Describing Attribution Graphs Aryaman Arora, Zhengxuan Wu, Jacob Steinhardt, Sarah Schwettmann

Conference

Semantic Structure of Feature Space in Large Language Models Austin Kozlowski, Andrei Boutyline

Conference

Lost in Backpropagation: The LM Head is a Gradient Bottleneck Nathan Godey, Yoav Artzi

Conference

Encode Once, Decode Never: Reusing Audio LM Internals for Efficient Temporal Localization Joseph An, Phillip Keung, Jiaqi Wang, Orevaoghene Ahia, Noah Smith

Conference

Reasoning about Intent for Ambiguous Requests Irina Saparina, Mirella Lapata

Conference

Understanding and Mitigating Premature Confidence for Better LLM Reasoning Jingchu Gai, Guanning Zeng, Christina Baek, Chen Wu, J Kolter, Andrej Risteski, Aditi Raghunathan

Conference

Expert-Choice Routing Enables Adaptive Computation in Diffusion Language Models Shuibai Zhang, Xialie Zhuang, Chihan Cui, Zhihan Yang, Fred Peng, Yanxin Zhang, Haoyue Bai, Zack Jia, Yang Zhou, Guanhua Chen, Ming Liu

Conference

To Mix or To Merge: Toward Multi-Domain Reinforcement Learning for Large Language Models Haoqing Wang, Xiang Long, Ziheng Li, Yilong Xu, Tingguang Li, Yehui Tang

Conference

On the Role of Reasoning Patterns in the Generalization Discrepancy of Long Chain-of-Thought Supervised Fine-Tuning Zhaoyi Li, Xiangyu Xi, Zhengyu Chen, Wei Wang, Gangwei Jiang, Ranran Shen, Linqi Song, Ying Wei, Defu Lian

Conference

Demystifying OPD: Length Inflation and Stabilization Strategies for Large Language Models Feng Luo, Yu-Neng Chuang, Guanchu Wang, Zicheng Xu, Xiaotian Han, Tianyi Zhang, Vladimir Braverman

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Do LLMs Benefit From Their Own Words? Jenny Y Huang, Leshem Choshen, Wei Sun, Omar Khattab, Ramón Fernandez Astudillo, Mehul Damani, Tamara Broderick, Jacob Andreas

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ACTOR-CURATOR: Online Curriculum Learning via Policy Improvement Bandits for RL Post-Training Zhengyao Gu, Jonathan Li, Raul Astudillo, Ziyu Ye, Langzhou He, Henry P Zou, Pei Chen, Wei Cheng, Santiago Paternain, Philip S Yu, Yisong Yue

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Reasoning over Non-Parametric Memory in Multilingual LLMs: A Cognitive-Based Analysis of Relational Knowledge Zohreh A Liasi, Batoul Hammoud, Anas Madkoor, Ehsaneddin Asgari

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NI Sampling++: Optimizing Token Order for Fast Discrete Diffusion Sampling with Reinforcement Learning Enshu Liu, Theodore Z Zhao, Xuefei Ning, Zinan Lin, Yu Wang

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Resa: Efficient Reasoning Models via SAEs Shangshang Wang, Julian Asilis, Ömer Faruk Akgül, Enes B Bilgin, Ollie Liu, Deqing Fu, Willie Neiswanger

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Learning Next Action Predictors from Human-Computer Interaction Omar Shaikh, Valentin Teutschbein, Kanishk Gandhi, Yikun Chi, Nick Haber, Thomas N Robinson, Nilam Ram, Byron Reeves, Sherry Yang, Michael Bernstein, Diyi Yang

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LeanGeo: Formalizing Competitional Geometry problems in Lean Chendong Song, Zihan Wang, Frederick Pu, Haiming Wang, Xiaohan Lin, Junqi Liu, Jia LI, Zhengying Liu

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HeaPA: Difficulty-Aware Heap Sampling and On-Policy Query Augmentation for LLM Reinforcement Learning Weiqi Wang, Xin Liu, Binxuan Huang, Hejie Cui, Rongzhi Zhang, Changlong Yu, Shuowei Jin, Jingfeng Yang, Qingyu Yin, Zhengyang Wang, Zheng Li, Yifan Gao, Priyanka Nigam, Bing Yin, Lihong Li, Yangqiu Song

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An Investigation of Translationese in the Generations of Multilingual Large Language Models Maria Valentini, Téa Wright, Julisa Granados, Eliana Colunga, Katharina von der Wense

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Large Language Models Align with the Human Brain during Creative Thinking Mete Ismayilzada, Simone A Luchini, Abdulkadir Gokce, Badr AlKhamissi, Antoine Bosselut, Antonio Laverghetta Jr., Lonneke v Plas, Roger Beaty

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SEQUOR: A Multi-Turn Benchmark for Realistic Constraint Following Beatriz Canaverde, Duarte Alves, José Pombal, Giuseppe Attanasio, Andre Martins

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Do LLMs Know What Is Private Internally? Probing and Steering Contextual Privacy Norms in Large Language Model Representations Haoran Wang, Li Xiong, Kai Shu

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LORA-CRAFT: Cross-layer Rank Adaptation via Frozen Tucker Decomposition of Pre-trained Attention Weights Kasun Dewage, Marianna Pensky, Shankhadeep Mondal, Suranadi De Silva

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Making Grid Beam Search Less Greedy Sean Papay, Roman Klinger

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Latent Structure of Affective Representations in Large Language Models Benjamin Choi, Melanie Weber

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RefCritic: Training Long Chain-of-Thought Critic Models with Refinement Feedback Qiaoyu Tang, Hao Xiang, Le Yu, Bowen Yu, Hongyu Lin, Yaojie Lu, Ben He, Xianpei Han, Le Sun, Junyang Lin

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Most current model organisms are leaky: Perplexity differencing often reveals finetuning objectives Mohammed Abu Baker, Luca Baroni, Dan Wilhelm

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CPInj: Uncovering Prompt Injection Risks in Textual Collaborative Prompt Optimization Xinting Liao, Behnoosh Zamanlooy, Masoumeh Shafieinejad, D. B Emerson, Ruinan Jin, Deval Pandya, Xiaoxiao Li

Conference

SWE-Bench ProMax: Benchmarking Agents on Large-Scale Multilingual Code Refactoring Yuling Shi, Jinghan Xu, Kelin Fu, Wenhao Zeng, YINGWEI MA, Shilin He, Lei Zhang, Yue Liu, Zelin Zhao, Terry Yue Zhuo, Jialun Cao, Siyu Ye, Tianyu Liu, Kai Cai, Shing-Chi Cheung, Xiaodong Gu

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TierMem: Balancing Compressed Memory and Raw Evidence for Long-Horizon Agent Memory Qiming Zhu, Shunian Chen, Rui Yu, Zhehao Wu, Benyou Wang

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Vocabulary embeddings organize linguistic structure early in language model training Isabel Papadimitriou, Jacob S Prince

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MameLoshnLM: Yiddish Language Model and Evaluation Benchmark Uri Katz, Omer Goldman, Tomasz Limisiewicz, Reut Tsarfaty, Noah Smith

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Scaling Test-Time Compute for Agentic Coding Joongwon Kim, Wannan Yang, Kelvin Niu, Hongming Zhang, Yun Zhu, Eryk Helenowski, Ruan Silva, Zhengxing Chen, Srini Iyer, Manzil Zaheer, Daniel Fried, Hanna Hajishirzi, Sanjeev Arora, Ruslan Salakhutdinov, Gabriel Synnaeve, Anirudh Goyal

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Valley3: Scaling Omni Foundation Models for E-commerce Zeyu Chen, Guanghao Zhou, Min Yang, Qixiang Yin, Ziwang Zhao, Huanjin Yao, Pengjiu Xia, Cen Chen, Minghui Qiu

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(How) Learning Rates Regulate Catastrophic Overtraining Mark Rofin, Aditya Varre, Nicolas Flammarion

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Judge a Book by its Cover: Investigating Multi-Modal LLMs for Multi-Page Handwritten Document Transcription Benjamin Gutteridge, Matthew T Jackson, Toni Kukurin, Xiaowen Dong

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Adversarial Reward Auditing for Active Detection and Mitigation of Reward Hacking Mohammad Beigi, Ming Jin, Junshan Zhang, Qifan Wang, Lifu Huang

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Ideological Bias in LLMs’ Economic Causal Reasoning Donggyu Lee, Hyeok Yun, Jungwon Kim, Junsik Min, Sungwon Park, Sangyoon Park, Jihee Kim

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Back to the Future: A workbook time machine for spread- sheet creation benchmarks Mansi Uniyal, Agamdeep Singh, Ananya Singha, Priyanshu Gupta, Mukul Singh, Gust Verbruggen, Vu Le, Sumit Gulwani

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A Self-Pruning Transformer: Extreme KV-Cache Compression with Universal Attention Davis Wertheimer, Haochen Shen, Ahan Gupta, Derrick Liu, Yu Chin Fabian Lim, Mudhakar Srivatsa, Raghu K Ganti, Minjia Zhang, Naigang Wang

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LLMs Can Get "Brain Rot": A Pilot Study on Twitter/X Shuo Xing, Junyuan Hong, Yifan Wang, Runjin Chen, Zhenyu Zhang, Ananth Grama, Zhengzhong Tu, Zhangyang Wang

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Learn from Zero: Policy Optimization under Vanishing Advantage Chang Liu, Peng Xiao, Jiandong Su, Wayne Zhang

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Olmo Hybrid: From Theory to Practice and Back William Merrill, Yanhong Li, Tyler Romero, Anej Svete, Caia Costello, Pradeep Dasigi, Dirk Groeneveld, David Heineman, Bailey Kuehl, Nathan Lambert, Chuan Li, Kyle Lo, Saumya Malik, David Matusz, Benjamin Minixhofer, Jacob Morrison, Luca Soldaini, Finbarr Timbers, Evan Walsh, Noah Smith, Hanna Hajishirzi, Ashish Sabharwal

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PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing Yiwen Song, Yale Song, Tomas Pfister, Jinsung Yoon

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SuperCoder: Assembly Program Superoptimization with Large Language Models Anjiang Wei, Tarun Suresh, Huanmi Tan, Yinglun Xu, Gagandeep Singh, Ke Wang, Alex Aiken

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MoLGE: Mixture of Language Group Experts for Efficient Scaling of Massively Multilingual Speech Recognition Sangmin Lee, Woojin Chung, Woongjib Choi, Hong-Goo Kang

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A Prior-Aware Metric for Efficiently Distinguishing Memorization from Generalization in Large Language Models Trishita Tiwari, Ari Trachtenberg, G. Edward Suh

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From Terminology to Diagrams: Visual-Instruction Generation for Scientific Diagram Understanding Raúl Ortega, José Manuel Gómez-Pérez

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ExpRL: Exploratory RL for LLM Mid-Training Violet Xiang, Amrith Setlur, Chase Blagden, Nick Haber, Aviral Kumar

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REVERE: Reflective Evolving Research Engineer Balaji Dinesh Gangireddi, Aniketh Garikaparthi, Manasi Patwardhan, Arman Cohan

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Decoupling Planning and Control for Instructable Agents Zineng Tang, Kelsey R Allen, Sjoerd v Steenkiste, Ishita Dasgupta, Alane Suhr

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PreMoE: Proactive Inference for Efficient Mixture-of-Experts Zehua Pei, Ying Zhang, Hui-Ling Zhen, Tao Yuan, Xianzhi Yu, Zhenhua Dong, Sinno Pan, Mingxuan Yuan, Bei Yu

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Steering Awareness: Detecting Activation Steering from Within Joshua Fonseca Rivera, David D Africa

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Creativity and Hallucinations Share Mechanisms in LLMs Neta Glazer, Hadas Orgad, Lenny Aharon, Ethan Fetaya

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ACEvo: Adversarial Co-Evolution of Problem Distributions and Solvers for Combinatorial Optimization Ruibo Duan, Yuxin Liu, Haoran Ye, Xinyao Dong, zhiqiang xu, Chenglin Fan

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CoEvoSkills: Self-Evolving Agent Skills via Co-Evolutionary Verification Hanrong Zhang, Shicheng Fan, Henry P Zou, Yankai Chen, Zhenting Wang, Jiayu Zhou, Chengze Li, Wei-Chieh Huang, Yifei Yao, Kening Zheng, Xue Liu, Xiaoxiao Li, Philip S Yu

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Simulating Organized Group Behavior: New Framework, Benchmark, and Analysis Xinkai Zou, Yiming Huang, Zhuohang Wu, Jian Sha, Nan Huang, Longfei Yun, Jingbo Shang, Letian Peng

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A Spectral Transport Mechanism Underlying the Training Dynamics of Large Language Models Yizhou Zhang, Weichen Wu, Lun Du, Zhengjie Miao

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AutoOR: Scalably Post-training LLMs to Autoformulate Operations Research Problems Sumeet Motwani, Chuan Du, Aleksandar Petrov, Christopher E Davis, Philip Torr, Antonio R Papania-Davis, Weishi Yan

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Covariance-Aware Transformers for Quadratic Programming and Decision Making Kutay Tire, Yufan Zhang, Ege Onur Taga, Samet Oymak

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HieraSuite: A Holistic Toolkit for Building Versatile System-User Instruction Hierarchy Liwei Jiang, Erick Galinkin, Makesh Narsimhan Sreedhar, Chong Xiang, Yejin Choi, Traian Rebedea, Christopher Parisien

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CURV: Enhancing Chart Understanding Through Curriculum Visual Grounded Reasoning Xuehang Guo, Pingyue Zhang, Ruiyi Zhang, Zhenhailong Wang, Hanrui Lyu, Heng Ji, Tong Sun, Qingyun Wang, Manling Li

Conference

Agent Q-Mix: Selecting the Right Action for LLM Multi-Agent Systems through Reinforcement Learning Eric H Jiang, Levina Li, Rui Sun, Xiao Liang, Yubei Li, Yuchen Wu, Haozheng Luo, Hengli Li, Zhi Zhang, Zhaolu Kang, Kai-Wei Chang, Ying Nian Wu

Conference

The Profit Alignment Problem: How Profit Mandates Induce Alignment Failures in LLMs Eric So

Conference

Subliminal Steering: Encoding and Detecting Hidden Signals George Morgulis, John Hewitt

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Squeeze Evolve: A Unified Multi-Model Orchestration Framework for Verifier-Free Evolution Monish Maheswaran, Leon Lakhani, Zhongzhu Zhou, Shijia Yang, Junxiong Wang, Coleman R Hooper, Yuezhou Hu, Rishabh Tiwari, Jue WANG, Harman Singh, Qingyang Wu, Ce Zhang, Kurt Keutzer, Tri Dao, Xiaoxia Wu, Ben Athiwaratkun, James Zou, Chenfeng Xu

Conference

SWE-Replay: Efficient Test-Time Scaling for Software Engineering Agents Yifeng Ding, LINGMING ZHANG

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TemMed-Bench: Evaluating Temporal Medical Image Reasoning in Vision-Language Models Junyi Zhang, Jia-Chen Gu, Wenbo Hu, Yu Zhou, Robinson Piramuthu, Nanyun (Violet) Peng

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MetaSymbO: Multi-Agent Language-Guided Metamaterial Discovery via Symbolic Latent Evolution Jianpeng Chen, Wangzhi Zhan, Dongqi Fu, Junkai Zhang, Zian Jia, Ling Li, Wei Wang, Dawei Zhou

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Models Can Model, But Can’t Bind: Structured Grounding in Text-to-Optimization Zhiqi Gao, Albert Ge, Alexander M Berenbeim, Nathaniel D Bastian, Frederic Sala

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Only Ask What You Don’t Know: Grounded Delta Planning for Efficient Multi-step RAG Wei-Chieh Chou, Xuanjun Chen, Jian-Ren Lin, Claire Lin, Hung-yi Lee, Jyh-Shing R. Jang

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Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport Bohan Zhang, Anqi Ni, Yixin Wang, Paramveer Dhillon

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Stabilizing Off-Policy Training for Long-Horizon LLM Agents via Turn-Level Importance Sampling and Clipping-Triggered Normalization Chenliang Li, Adel Elmahdy, Alex J Boyd, Zhongruo Wang, Siliang Zeng, Alfredo Garcia, Parminder Bhatia, Taha Kass-Hout, Cao Xiao, Mingyi Hong

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RecaLLM: Addressing the Lost-in-Thought Phenomenon with Explicit In-Context Retrieval Kyle Whitecross, Razieh Rahimi

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Are LLMs Robust Enough for Operations Research? An Adversarial Attack and Defense Study via AttackOR Hanxi Zhu, Jingru Yu, Yan Teng, Jian Wang, Yi YU

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Phonological Perception of Sign Language Models Kayo Yin, Jessica Carter, Alex X Lu, Annemarie Kocab

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Activation Steering via Generative Causal Mediation Aruna Sankaranarayanan, Amir Zur, Atticus Geiger, Dylan Hadfield-Menell

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It’s How You Ask: Gender-Associated Linguistic Bias in LLMs Katherine Van Koevering, Anjalie Field

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LangFIR: Discovering Sparse Language-Specific Features from Monolingual Data for Language Steering Sing Hieng Wong, Hassan Sajjad, A.B. Siddique

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INSIDE the Student’s Mind: Jointly Modeling Latent Reasoning and Action in LLM Student Simulators Rose Niousha, Minwoo Kang, Narges Norouzi

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Cooperative Profiles Predict Multi-Agent LLM Team Performance in AI for Science Workflows Shivani Kumar, Adarsh Bharathwaj, David Jurgens

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Process Supervision of Confidence Margin for Calibrated LLM Reasoning Liaoyaqi Wang, Chunsheng Zuo, William Jurayj, Benjamin Van Durme, Anqi Liu

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Data Canvas: A Provenance-Guided Harness for Agentic Data Engineering Zixuan Yi, Yuanming Shao, Shaun Wallace, Zachary Ives, Ryan Marcus

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What Makes Retrieval Work for Pedagogical Dialogue Annotation? Indexing Granularity over Retriever Adaptation Jinsook Lee, Kirk Vanacore, Zhuqian Zhou, Bakhtawar Ahtisham, Rene F Kizilcec

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Personalized RewardBench: Evaluating Reward Models with Human Aligned Personalization Qiyao Ma, Dechen Gao, Rui Cai, BOQI ZHAO, Hanchu Zhou, Junshan Zhang, Zhe Zhao

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Cycle-Consistent Search: Question Reconstructability as a Proxy Reward for Search Agent Training Sohyun An, Shuibenyang Yuan, Hayeon Lee, Cho-Jui Hsieh, Alexander Min

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Beyond Logit Adjustment: A Residual Decomposition Framework for Long-Tailed Reranking Zhanliang Wang, Hongzhuo Chen, Quan M Nguyen, Mian U Ahsan, Kai Wang

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Understanding In-context Learning of Addition via Activation Subspaces Xinyan Hu, Kayo Yin, Michael I Jordan, Jacob Steinhardt, Lijie Chen

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Fork-think with Confidence Zena Al-Khalili, Rafi Hakim, Dietrich Klakow, Ji-Ung Lee

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ReFIne: A Framework for Trustworthy Large Reasoning Models with Reliability, Faithfulness, and Interpretability Chung-En Sun, Ge Yan, Akshay R Kulkarni, Tsui-Wei (Lily) Weng

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MET: Theory-Grounded and Culture-Aware Multilingual Moral Reasoning Ayoung Lee, Ryan Kwon, Yunxiang Zhang, Yuxuan Liu, Peter Railton, Lu Wang

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GoodPoint: Learning Constructive Scientific Paper Feedback from Author Responses Jimin Mun, Chani Jung, Xuhui Zhou, Hyunwoo Kim, Maarten Sap

Conference

SatIR: Scalable High-Recall Constraint-Satisfaction-Based Information Retrieval for Clinical Trials Matching Cyrus Zhou, Yufei Jin, Yilin Xu, Yu-Chiang Wang, Chieh-Ju Chao, Monica Lam

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Procedure-Aware Reinforcement Learning for Tool-Augmented Large Language Models Qinglong Zheng, Jiajun Fan, Chaoran Cheng, Ge Liu

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Spend Less, Fit Better: Budget-Efficient Scaling Law Fitting via Active Experiment Selection Sijie Li, Shanda Li, Haowei Lin, Weiwei Sun, Ameet Talwalkar, Yiming Yang

Conference

Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs? Jeonghye Kim, Xufang Luo, Minbeom Kim, Sangmook Lee, Dohyung Kim, Jiwon Jeon, Dongsheng Li, Yuqing Yang

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Cognitive Chain-of-Thought (CoCoT): Structured Multimodal Reasoning about Social Situations Eunkyu Park, Wesley H Deng, Gunhee Kim, Motahhare Eslami, Maarten Sap

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A Comedy of Estimators: On KL Regularization in RL Training of LLMs Vedant Shah, Johan Obando-Ceron, Vineet Jain, Brian R Bartoldson, Bhavya Kailkhura, Sarthak Mittal, Glen Berseth, Pablo S Castro, Yoshua Bengio, Esmeralda S Whitammer, Moksh Jain, Siddarth Venkatraman, Aaron Courville

Conference

Learning Human-Perceived Fakeness in AI-Generated Videos via Multimodal LLMs Xingyu Fu, Siyi Liu, Yinuo Xu, Pan Lu, Viola (Guangqiuse) Hu, Tianbo Yang, Taran Anantasagar, Christopher Shen, Yikai Mao, Yuanzhe Liu, Keyush Shah, Chung U Lee, Yejin Choi, James Zou, Dan Roth, Chris Callison-Burch

Conference

Multi-Granular Node Pruning for Causal Circuit Discovery Muhammad U Haider, Hammad Rizwan, Hassan Sajjad, A.B. Siddique

Conference

Voice of Reason: Reinforcement Learning for Spoken Math Timothée Weisselberger, Edouard Grave, Alexandre Défossez

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Multilingual Embedding Probes Fail to Generalize Across Learner Corpora Laurits Lyngbaek, Ross D Kristensen-McLachlan

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CritICL: Inference-Time Weak-to-Strong Generalization from Small Language Model Failure Modes Yufan Wu, Yinghui He, Zhengyi Hu, Lang Wei, Ruichen Li, Qifan Yang, Ting Zhu

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LM-mixup: Text Data Augmentation via Language Model based Mixup Zhijie Deng, Zhouan Shen, Ling Li, Yao Zhou, Zhaowei Zhu, Yanji He, Wei Wang, Jiaheng Wei

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Improving Latent Generalization Using Test-time Compute Arslan Chaudhry, Sridhar Thiagarajan, Andrew K Lampinen

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Seeing Isn’t Believing: Uncovering Blind Spots in Evaluator Vision-Language Models Mohammed Safi Ur Rahman Khan, Sanjay Suryanarayanan, Tushar Anand, Mitesh M Khapra

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What Makes a Sale? Simulating End-to-End Seller-Buyer Retail Dynamics with LLM Agents Jeonghwan Choi, Jibin Hwang, Gyeonghun Sun, Minjeong Ban, Taewon Yun, Hyeonjae Cheon, Hwanjun Song

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LakeQuest: A Three-Domain Benchmark for Grounded Question Answering across Data Lakes Michael Solodko, Steven Gong, Guangwei Yu, Satya Krishna Gorti, Jesse C Cresswell, Victor Zhong

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A Tale of Two Temperatures: Simple, Efficient, and Diverse Sampling from Diffusion Language Models Theo X. Olausson, Metod Jazbec, Xi Wang, Armando Solar-Lezama, Christian A. Naesseth, Stephan Mandt, Eric Nalisnick

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Routesplain: Towards Faithful and Intervenable Routing for Software-related Tasks Adam Štorek, Vikas Upadhyay, Marianne Menglin Liu, Daniel W Peterson, Anshul Mittal, Sujeeth Bharadwaj, Fahad Shah, Sujith Ravi, Dan Roth

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Quasar: A Programming Language Specialized for LLM Code Actions Stephen Mell, Botong Zhang, David Mell, Shuo Li, Ramya Ramalingam, Nathan Yu, Stephan Zdancewic, Osbert Bastani

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CLaRa: Bridging Retrieval and Generation with Continuous Latent Reasoning Jie He, Richard He Bai, Sinead Williamson, Jeff Z Pan, Navdeep Jaitly, Yizhe Zhang

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Are Large Vision-Language Models Ready to Guide Blind and Low-Vision Individuals? Eunki Kim, Na Min An, Wan Ju Kang, Sangryul Kim, James Thorne, Hyunjung Shim

Conference

Data Repetition Beats Data Scaling in Long-CoT Supervised Fine-Tuning Dawid J Kopiczko, Sagar Vaze, Tijmen Blankevoort, Yuki M Asano

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Can LLM Agents Discover? Evaluating Creativity on ML Engineering Tasks Shitanshu Bhushan, Yunxiang Zhang, Lu Wang

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Diversifying Multiple Generative Agents by Aligning with Human Populations Manh Hung Nguyen, Sebastian Tschiatschek, Adish Singla

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Distill to Detect: Exposing Stealth Biases in LLMs through Cartridge Distillation Shayan Talaei, Abhinav Chinta, Fnu Devvrit, Amin Karbasi, Azalia Mirhoseini, Amin Saberi

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FitText: Evolving Agent Tool Ecologies via Memetic Retrieval Kyle Zheng, Han Zhang, Renliang Sun, Chenchen Ye, Wei Wang

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CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery Ao Qu, Han Zheng, Zijian Zhou, Yihao Yan, Yihong Tang, Shao Yong Ong, Fenglu Hong, Kaichen Zhou, Chonghe Jiang, Minwei Kong, Jiacheng Zhu, Sirui Li, Cathy Wu, Bryan Kian Hsiang Low, Jinhua Zhao, Paul Pu Liang

Conference

PolicyLong: Towards On-Policy Context Extension Junlong Jia, Ziyang Chen, Xing Wu, Chaochen Gao, TingHao YU, feng zhang, Songlin Hu, Binghui Guo

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Convergent Evolution: How Different Language Models Learn Similar Number Representations Deqing Fu, Tianyi Zhou, Mikhail Belkin, Vatsal Sharan, Robin Jia

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Amplified Does Not Mean Predictive: Reasoning Behaviors in Thinking Models Jean de Dieu Nyandwi, Leena Mathur, Yonatan Bisk, Graham Neubig

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TRACES: Tagging Reasoning Steps for Adaptive Cost-Efficient Early-Stopping Yannis Belkhiter, Seshu Tirupathi, Giulio Zizzo, John Kelleher

Conference

Direct Multi-Token Decoding Xuan Luo, Weizhi Wang, Xifeng Yan

Conference

In-Context Learning as Implicit Policy Gradient Masahiro Kaneko, Timothy Baldwin

Conference

Synthesizing Instruction-Tuning Datasets with Contrastive Decoding Tatsuya Ichinose, Youmi Ma, Masanari Oi, Ryuto Koike, Naoaki Okazaki

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SkillRouter: Skill Routing for LLM Agents at Scale Yanzhao Zheng, Zhentao Zhang, Chao Ma, Yuanqiang Yu, Jihuai Zhu, Yong Wu, Tianze Xu, Baohua Dong, Hangcheng Zhu, Ruohui Huang, Gang Yu

Conference

KAMR: Grounding Generation via Knowledge-Aligned Multi-hop Retrieval Xiaochen Wang, Yuan Zhong, Haoyu Wang, Ting Wang, Fenglong Ma

Conference

Attr-Kit: An Efficient Toolkit for No-Decode Source Attribution Sai Sundaresan, Archit Gupta, Debabrata Mahapatra

Conference

InfiniteScienceGym: An Unbounded, Procedurally-Generated Benchmark for Scientific Analysis Oliver Bentham, Vivek Srikumar

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The Story Shapes the Agent: Narrative Priors in LLM Behavior Yixuan Wang, James Lester, Shashank Srivastava

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Learning Reasoning World Models for Parallel Code Gautam Singh, Arjun Guha, Bhavya Kailkhura, Harshitha Menon

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Online Reasoning Calibration: Test-Time Training Enables Generalizable Conformal LLM Reasoning Cai Zhou, Zekai Wang, Menghua Wu, Qianyu Zhu, Flora C Shi, Chenyu Wang, Ashia C Wilson, Tommi Jaakkola, Stephen Bates

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Cross-Model Disagreement as a Label-Free Correctness Signal Matt Gorbett, Suman Jana

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LiveMathematicianBench: A Live Benchmark for Research-Level Mathematical Reasoning with Proof Sketches Linyang He, Qiyao Yu, Hanze Dong, Baohao Liao, Xinxing Xu, Micah Goldblum, Jiang Bian, Nima Mesgarani

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Dr. Zero: Self-Evolving Search Agents without Training Data Zhenrui Yue, Kartikeya Upasani, Xianjun Yang, Suyu Ge, Shaoliang Nie, Yuning Mao, Zhe Liu, Dong Wang

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ScienceMeter: Tracking Scientific Knowledge Updates in Language Models Yike Wang, Shangbin Feng, Yulia Tsvetkov, Hanna Hajishirzi

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Sci-VBench: Evaluating Knowledge- and Reasoning- Intensive Video Generation in Science Domains Diandian Zhang, Tingyu Song, Lin Fu, Zheyuan Yang, Yilun Zhao

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In-Situ Behavioral Evaluation for LLM Fairness, Not Standardized-Test Scores Zeyu Tang, Sang Truong, Deonna Owens, Shreyas Sharma, Yibo Jacky Zhang, Brando Miranda, Sanmi Koyejo

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LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research Agent Wanli Li, Bince Qu, Bo Pan, Jianyu Zhang, Zheng Liu, Pan Zhang, Wei Chen, Bo Zhang

Conference

BERT-as-a-Judge: A Robust Alternative to Lexical Methods for Efficient Reference-Based LLM Evaluation Hippolyte Gisserot-Boukhlef, Nicolas Boizard, Emmanuel Malherbe, CELINE HUDELOT, Pierre Colombo

Conference

InfMem: Learning System-2 Memory Control for Long-Context Agent Xinyu Wang, 明泽李, Peng Lu, Xiao-Wen Chang, Lifeng Shang, Jinpeng Li, Fei Mi, Prasanna Parthasarathi, Yufei Cui

Conference

When Audio-Language Models Fail to Leverage Multimodal Context for Dysarthric Speech Recognition Pehuen Moure, Niclas Pokel, Bilal Bounajma, Yingqiang Gao, Roman Boehringer, Longbiao Cheng, Shih-Chii Liu

Conference

MLPs are Hebbians: Constructing Efficient Fact-Storing MLPs for Transformers Roberto Garcia, Jerry Liu, Ronald G Junkins, Owen M Dugan, Dylan Zinsley, Sabri Eyuboglu, Atri Rudra, Christopher Re

Conference

Do Sparse Autoencoders Capture Concept Manifolds? Usha Bhalla, Thomas Fel, Can Rager, Sheridan Feucht, Tal Haklay, Daniel Wurgaft, Siddharth Boppana, Matthew Kowal, Jack Merullo, Atticus Geiger, Ekdeep Singh Lubana

Conference

ReLay: Personalized LLM-Generated Plain-Language Summaries for Better Understanding of Health Information, but at What Cost? Joey Chan, Yikun Han, Jingyuan Chen, Samuel Fang, Lauren D Gryboski, Alexandra Lee, Sheel Tanna, Qingqing Zhu, Zhiyong Lu, Lucy Lu Wang, Yue Guo

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Message Passing Enables Efficient Reasoning Xuecheng Liu, Daman Arora, Gokul Swamy, Andrea Zanette

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LACUNA: A Testbed for Evaluating Localization Precision for LLM Unlearning Matteo Boglioni, Thibault Rousset, Siva Reddy, Marius Mosbach, Verna Dankers

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Actions Speak Louder than Words: Measuring Cross-Lingual Policy Retention in Tool-Using Agents Sourabrata Mukherjee, Kalika Bali, Sunayana Sitaram

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AgentWorld: Benchmarking Long-Horizon Collaboration of Multi-agent LLMs Raphael Shu, Yusen Zhang, Jeffrey (Young Min) Cho, Jin Mo Yang, Yuan Yuan, Wenliang Zheng, Sharath Chandra Guntuku, Lyle Ungar, Zhou Yu, Rui Zhang

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GraphWalker: Agentic Knowledge Graph Question Answering via Synthetic Trajectory Curriculum Shuwen Xu, Yao Xu, Jiaxiang Liu, Chenhao Yuan, Wenshuo Peng, Jun Zhao, Kang Liu

Conference

Multi-objective Evolutionary Merging Enables Efficient Reasoning Models Mario Iacobelli, Adrian Robert Minut, Tommaso Mencattini, Donato Crisostomi, Andrea Santilli, Iacopo Masi, Emanuele Rodolà

Conference

Algebraic Decomposition Theory for Transformer Length Generalization Andy Yang, Blerta Veseli, Corentin Barloy, Michaël Cadilhac, Andreas Krebs, Charles Paperman, Howard Straubing, Michael Hahn

Conference

MMEB-V3: Measuring the Performance Gaps of Omni-Modality Embedding Models Haohang Huang, Xuan Lu, Mingyi Su, Xuan Zhang, Ziyan Jiang, Ping Nie, Kai Zou, Tomas Pfister, Wenhu Chen, Wei Zhang, Xiaoyu Shen, Rui Meng

Conference

Synthetic Sandbox for Training ML Engineering Agents Yuhang Zhou, Lizhu Zhang, Yifan Wu, Jiayi Liu, Xiangjun Fan, Zhuokai Zhao, Hong Yan

Conference

SonicSampler: Unified Tile-Aware Kernels for LLM Sampling and Speculative Verification Pragaash Ponnusamy, Shivam Sahni, Jue WANG, Tri Dao

Conference

Beyond Perplexity: Character Distribution Signatures and the MDTA Benchmark for AI Text Detection Priyadarshan Narayanasamy, Swastik Agrawal, Klint Faber, Fardina F Alam

Conference

Tool-Creating LLM Agents Gain Little from Keeping Their Tools Marek Šuppa, Jaroslav Kopcan

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Misalignment Contagion: Can a Misaligned Minority Shift Aligned Agents in Multi-Agent LLM Deliberation? Syed Ali Haider, Soroush Vosoughi

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Headroom-Drift Replay: A Primitive for Principled Replay Control in GRPO HYUN BIN PARK, Du-Seong Chang

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RefusalGuard: Geometry-Preserving Fine-Tuning for Safety in LLMs Sadia Asif, Mohammad Mohammadi Amiri

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Shorthand for Thought: Compressing LLM Reasoning via Entropy-Guided Supertokens Zhenyu Zhao, Sander Land, Daniel M Bikel, Waseem Alshikh

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Strong but Brittle: Simple Attacks Subvert Reasoning-based Safety Guardrails Shuo Chen, Zhen Han, Haokun Chen, Bailan He, Shengyun Si, Jingpei Wu, Philip Torr, Volker Tresp, Jindong Gu

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Group-Evolving Agents: Open-Ended Self-Improvement via Experience Sharing Zhaotian Weng, Antonis Antoniades, Deepak Nathani, Zhen Zhang, Sophia Pu, Eric Wang

Conference

Function Over Form: Distributional Orthogonalization in Mixture-of-Experts with Replica Expert Mechanism Jinfan He, Yunzhuo Liu, Kai Zhang, Weidong Han, key, Rayying

Conference

TEMPER: Testing Emotional Perturbation in Quantitative Reasoning Atahan Dokme, Benjamin Reichman, Larry Heck

Conference

Parcae: Scaling Laws For Stable Looped Language Models Hayden Prairie, Zachary Novack, Taylor Berg-Kirkpatrick, Daniel Y Fu

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When Contextual Inference Fails: Cancelability in Interactive Instruction Following Natalia Bila, Kata Naszadi, Alexandra Mayn, Christof Monz

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Gecko: An Efficient Neural Architecture Inherently Processing Sequences with Arbitrary Lengths Xuezhe (Max) Ma, Shicheng Wen, Linghao Jin, Bilge Acun, Ruihang Lai, Bohan Hou, Will Lin, Hao Zhang, Songlin Yang, Ryan Lee, Mengxi Wu, Jonathan May, Luke Zettlemoyer, Carole-Jean Wu

Conference

Structure Before Collapse: Transient Semantic Geometry in Next-Token Prediction Yize Zhao, Isabel Papadimitriou, Christos Thrampoulidis

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LogicIF: Towards Complex Logic Instruction Following Mian Zhang, Shujian Liu, Sixun Dong, Ming Yin, Yebowen Hu, Sean Wang, Simin Ma, Song Wang, Sathish Reddy Indurthi, Haoyun Deng, Zhiyu Chen, Kaiqiang Song

Conference

TRAPSBench: Vision-Language Models Encode but Fail to Express Epistemic Restraint Fnu pramono, John Cai, Sourabh Kulkarni

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To See the Unseen: on the Generalization Ability of Transformers in Symbolic Reasoning Nevena Lazic, Liam H Fowl, András György, Csaba Szepesvari

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Benchmarking the Robustness of Agentic Systems to Adversarially-Induced Harmful Behaviors Jonathan Nöther, Adish Singla, Goran Radanovic

Conference

KT4EQG: Personalized Exercise Question Generation via Knowledge Tracing Xinyi Gao, Qiucheng Wu, Lu Ding, Vera Liao, Kaizhi Qian, Ying Xu, Shiyu Chang, Yang Zhang

Conference

PromptBridge: Cross-Model Prompt Transfer for Large Language Models Yaxuan Wang, Quan Liu, Zhenting Wang, Zichao Li, Wei Wei, Yang Liu, Yujia Bao

Conference

In-Context Exploration-Exploitation is Biased by Semantic Priors David Austin, Kaheer Suleman, Jackie Cheung

Conference

HPFA: Hypergraph-Based Paired Failure Attribution for LLM Reasoning Runchuan Zhu, Hongbin Lai, Bowen Jiang, Junrui Zhang, Zhangheng LI, Ostap Kilbasovych Shevtsiv, Junyuan Hong

Conference

Who Broke the System? Failure Localization in LLM-Based Multi-Agent Systems Yufei Xia, Anjun Gao, Yueyang Quan, Zhuqing Liu, Minghong Fang

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Escaping the Nash Trap: Structural Estimation and Alignment of Strategic Reasoning in Large Language Models Jiannan Xu, Yongkang Duan, Jane Jiang, Jiding Zhang

Conference

A case study of evaluating AI agents on a neuroscience data-to-discovery pipeline Kai Horstmann, Ethan Lin, Alice A Robie, Jennifer J. Sun, Kristin Branson

Conference

Data-Efficient Adaptation of LLMs via Attention Head Reweighting Tuomas Oikarinen, Zixiao Chen, Charlotte Siska, Tsui-Wei (Lily) Weng, Chandan Singh, Jianfeng Gao

Conference

CreativityNeuro: Steering Language Model Weights to Improve Divergent Thinking and Reduce Mode Collapse Samuel Schapiro, Core Francisco Park, Felix A Sosa, Lav Varshney

Conference

PrefPO: Pairwise Preference Prompt Optimization Rahul Singhal, Pradyumna Tambwekar, Karime Maamari

Conference

QVAC Genesis III: A Large-Scale, High-Quality Open Synthetic STEM Corpus for Efficient Language Model Pre-Training Davide Vitabile, Nik T, Akshay Prasoon Nambiar, Kamal Kumar Gupta, Amril Nurman Nazir

Conference

BigCodeArena: A Platform for Executable Code Generation Evaluation Terry Yue Zhuo, Xiaolong Jin, Hange Liu, Juyong Jiang, Tianyang Liu, Chen GONG, Bhupesh Bishnoi, Vaisakhi Mishra, Marek Šuppa, Noah Ziems, Saiteja Utpala, Ming Xu, Guangyu Song, Kaixin Li, Yuhan Cao, Bo Liu, Zheng Liu, Sabina Abdurakhmanova, Wenhao Yu, Mengzhao Jia, Jihan Yao, Kenneth Hamilton, Kumar Shridhar, Minh Chien Vu, Dingmin Wang, Jiawei Liu, Zijian Wang, Qian Liu, Binyuan Hui, Meg Risdal, Ahsen Khaliq, Atin Sood, Zhenchang Xing, Wasi Ahmad, John C Grundy, David Lo, Banghua Zhu, Xiaoning Du, Torsten Scholak, Leandro von Werra

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Barriers to Universal Reasoning with Transformers (and How to Overcome them) Oliver Kraus, Yash Sarrof, Yuekun Yao, Alexander Koller, Michael Hahn

Conference

DeepThinkVLA: Enhancing Reasoning Capability of Vision-Language-Action Models Cheng Yin, Yankai Lin, Wang Xu, Sikyuen Tam, Xiangrui Zeng, Zhiyuan Liu, Zhouping Yin

Conference

Lost in the Maze: Overcoming Context Limitations in Long-Horizon Agentic Search Howard Yen, Yoonsang Lee, Ashwin Paranjape, Mengzhou Xia, Thejas Venkatesh, Jack Hessel, Danqi Chen, Yuhao Zhang

Conference

Pareto-Optimal RTL Code Generation via Multi-Objective Reinforcement Learning with Large Language Models Koki Takeshita, Uebayashi Kenji, Hikaru Tomonari, Masaya Tsunokake, Koichiro Yawata, Tatsuya Sasaki, Yusuke Ohtsubo, Kota Dohi, Yasuhiro Sogawa

Conference

Train Yourself as an LLM: Exploring Effects of AI Literacy on Persuasion via Role-playing LLM Training Qihui Fan, Min Ge, Chenyan Jia, Weiyan Shi

Conference

Do Evaluation Metrics Detect Errors in Classical Chinese to English Translations? Osvaldo Quinjica, Eric Bennett, Xinchen Yang, Andrew Schonebaum, Marine Carpuat

Conference

SALA: Syntax-Aware Logit Adjustment for Open-Ended Text Generation Ting-Ruen Wei, Hsin-Tai Wu, Yi Fang

Conference

Reflective Context Learning: Studying the Optimization Primitives of Context Space Nikita Vassilyev, William Berrios, RUOWANG ZHANG, Bo Han, Douwe Kiela, Shikib Mehri

Conference

Entropy Centroids as Intrinsic Rewards for Test-Time Scaling Wenshuo Zhao, Qi Zhu, Xingshan Zeng, Fei Mi, Lifeng Shang, Yiren Feng

Conference

Goose: Anisotropic Speculation Trees for Training-Free Speculative Decoding TAO JIN, Phuong Minh Nguyen, Naoya Inoue

Conference

Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledge Shashank Kirtania, Param Biyani, Priyanshu Gupta, Yasharth Bajpai, Roshni Iyer, Sumit Gulwani, Gustavo Soares

Conference

Boosting Process-Correct CoT Reasoning by Modeling Solvability of Multiple-Choice QA Raphael Schumann, Stefan Riezler

Conference

Poison Once, Exploit Forever: Environment-Injected Memory Poisoning Attacks on Web Agents Mingwen Dong, Wei Zou, Miguel R Calvo, Shuaichen Chang, Jiang Guo, Dongkyu Lee, Xing Niu, Xiaofei Ma, Yanjun Qi, Jiarong Jiang

Conference

Studying the Soupability of Documents in State Space Models Yasaman Jafari, Zixian Wang, Leon Bergen, Taylor Berg-Kirkpatrick

Conference

MoltNet: Understanding Social Behavior of AI Agents in the Agent-Native MoltBook Yi Feng, Chen Huang, Zhibo Man, Ryner Tan, Long P Hoang, Shaoyang Xu, Wenxuan Zhang

Conference

Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior Daniel Wurgaft, Can Rager, Matthew Kowal, Sheridan Feucht, Usha Bhalla, Tal Haklay, Eric Bigelow, Raphaël Sarfati, Jack Merullo, Noah Goodman, Thomas Fel, Atticus Geiger, Ekdeep Singh Lubana

Conference

PAM: Training Moderation Filters from Policy-Derived Supervision Masoomali Fatehkia, Enes Altinisik, Mohamed Osman, Husrev Taha Sencar

Conference

LLM Router: Rethinking Routing with Prefill Activations Tanay Varshney, Annie P Surla, Michelle Xu, Gomathy V Krishnan, Maximilian Jeblick, David Austin, Neal Vaidya, Davide Onofrio

Conference

Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes Nan Chen, Zhouhao Yang, Soufiane Hayou

Conference

MS-GLA: Multi-Scale Gated Linear Attention for Addressing Representational Bottlenecks via Multi-Temporal Resolution Prasoon Dev, Anirudh Sankar, Vasudeva Varma

Conference

ClawsBench: Evaluating Capability and Safety of LLM Productivity Agents in Simulated Workspaces Xiangyi Li, Kyoung Whan Choe, Yimin Liu, Xiaokun Chen, Chujun Tao, Bingran You, Wenbo Chen, Zonglin Di, Jiankai Sun, Shenghan Zheng, Jiajun Bao, Yuanli Wang, Weixiang Yan, Yiyuan Li, Hanchung Lee

Conference

Grounding latent algorithm routing in transformer reasoning Xiangbo Zhang, Xiaoxu Ma

Conference

New Skills or Sharper Primitives? A Probabilistic Perspective on the Emergence of Reasoning in RLVR Zhilin Wang, Yafu Li, Shunkai Zhang, Zhi Wang, Haoran Zhang, Xiaoye Qu, Yu Cheng

Conference

v1: Learning to Point Visual Tokens for Multimodal Mathematical Grounded Reasoning Jiwan Chung, Junhyeok Kim, Siyeol Kim, Jaeyoung Lee, Min Soo Kim, Youngjae Yu

Conference

Multi-Mask Diffusion Language Models for Few-Step Generation Sijin Chen, Yinuo Ren, Heyang Zhao, Ziheng Cheng, Quanquan Gu, Lexing Ying

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COMPASS: Benchmarking Constrained Optimization in LLM Agents Tian Qin, Haoping Bai, Ting-Yao Hu, Raviteja Vemulapalli, Hema Swetha Koppula, Zhiyang Xu, Bowen Jin, Mert Cemri, Jiarui Lu, Zirui Wang, Meng Cao

Conference

Rethinking Generalization in Reasoning SFT: A Conditional Analysis on Optimization, Data, and Model Capability Qihan Ren, Wang Peng, Ruikun Cai, Shuai Shao, Dadi Guo, Yuejin Xie, Yafu Li, Quanshi Zhang, Xia Hu, Jing Shao, Dongrui Liu

Conference

Social World Models Xuhui Zhou, Jiarui Liu, Akhila Yerukola, Hyunwoo Kim, Maarten Sap

Conference

EvoSkillBank: Hierarchical Skill Self-Evolution and Skill-Bank Governance for Continual Agent Learning Shuaiyu Zhou, Jiaying Zhang, Taoyuan Li, Lei Shi, Fengpeng Yue, Cao Liu, Ke Zeng

Conference

Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Ruochen Jin, Zhanliang Wang, Zongyu Dai, Jiancong Xiao, Bojian Hou

Conference

Synthetic Data for any Differentiable Target Tristan Thrush, Sung Min Park, Herman Brunborg, Luke Bailey, Marcel Rød, Neil Band, Christopher Potts, Tatsunori Hashimoto

Conference

Training Proactive and Personalized LLM Agents Weiwei Sun, Xuhui Zhou, Weihua Du, Xingyao Wang, Sean Welleck, Graham Neubig, Maarten Sap, Yiming Yang

Conference

SEER: Long-Context Reasoning via Selective Visual-Text Compression Jiawei Xu, Zhilin Zhai, Jinrui Fang, Ruohan Xu, Mingfei Lu, Yi Zhang, Guanchu Wang, Tianlong Chen, Ying Ding

Conference

GLAZE: A Gaze-Language Benchmark for Grounding Human Gaze on Web User Interfaces Yiran Ma, Yi-Hao Peng, Jiayang Shi, Isha Swaminathan, Aritra Dutta, Andrew Begel

Conference

Do Language Models Consistently Encode the Current Year? Suze van Adrichem, Aditi Bhaskar, Diyi Yang, Christopher Potts, Jing Huang

Conference

Unlocking Parallelism in Autoregressive Language Models via Speculative Decoding with Progressive Tree Drafting Zipeng Gao, Zhi Zheng, Qingrong Xia, Junda Lin, Ziwei Zhao, Tong Xu, Zhefeng Wang, Enhong Chen

Conference

OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation Haoyang Fang, Shuai Zhang, Yifei Ma, Hengyi Wang, Cuixiong Hu, Katrin Kirchhoff, Bernie Wang, George Karypis

Conference

Faster Superword Tokenization Craig Schmidt, Yuval Pinter, Chris Tanner

Conference

Talk is Cheap, Communication is Hard: Dynamic Grounding Failures and Repair in Multi-Agent Negotiation Yiheng Yao, Robert Hawkins

Conference

Extended to Reality: Prompt Injection in 3D Environments Zhuoheng Li, Ying Chen

Conference

Beyond Distribution Sharpening: The Importance of Task Rewards Sarthak Mittal, Leo Gagnon, Guillaume Lajoie

Conference

YC-Bench: Benchmarking AI Agents for Long-Term Planning and Consistent Execution. Muyu He, Adit Jain, Anand Kumar, Vincent Tu, Soumyadeep Bakshi, Sachin Patro, Nazneen Rajani

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Rubrics as an Attack Surface: Stealthy Preference Drift in LLM Judges Ruomeng Ding, Yifei Pang, He Sun, Yizhong Wang, Steven Wu, Zhun Deng

Conference

Minimal, Local, Causal Explanations of Jailbreak Success in Large Language Models Shubham Kumar, Narendra Ahuja

Conference

TIDES: A Longitudinal Bilingual Dataset for Modeling Multi-Party Social Dynamics Heechan Lee, Jeonggyu Kang, Junho Myung, Jaywoong Jeong, Juho Kim, Joseph Seering

Conference

Self-Generated Text Recognition: Quality Heuristics, Cross-Task Transfer, and Downstream Bias in LLM Evaluation Jesse St. Amand, Callum Canavan, Sohaib Imran, Joseph Hewson, Aaron Lutz, Shi Feng, Puria Radmard, Lennie Wells

Conference

Introspective Diffusion Language Models Yifan Yu, Yuqing Jian, Junxiong Wang, Zhongzhu Zhou, Donglin Zhuang, Xinyu Fang, Xiaoxia Wu, Qingyang Wu, Shuaiwen L Song, Tri Dao, Ben Athiwaratkun, James Zou, Fan Lai, Chenfeng Xu

Conference

VLMs Need Words: Vision Language Models Ignore Visual Detail In Favor of Semantic Anchors Haz Shahgir, Xiaofu Chen, Yu Fu, Erfan Shayegani, Nael Abu-Ghazaleh, Yova Kementchedjhieva, Yue Dong

Conference

Towards Full Pipeline FP8 Reinforcement Learning for LLMs Fanchao Chen, Ziheng Jiang, Ziyun Wei, Zheng Zhong, Du Li, Chi Zhang, Haibin L, Shivaram Venkataraman

Conference

Blind Refusal: Language Models Refuse to Help Users Evade Unjust, Absurd, and Illegitimate Rules Cameron Pattison, Lorenzo Manuali, Seth Lazar

Conference

Relative Scaling Laws for LLMs William B Held, David L Hall, Percy Liang, Diyi Yang

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Test-Time Scaling Makes Overtraining Compute-Optimal Nicholas Roberts, Sungjun Cho, Zhiqi Gao, Tzu-Heng Huang, Albert Wu, Gabriel Orlanski, Avi Trost, E. Kelly Buchanan, Aws Albarghouthi, Frederic Sala

Conference

FinHardBench: Can LLMs Generate Latency-Aware Hardware for Financial Computing? Weimin Fu, Hejia Zhang, Minghao Shao, Zeng Wang, Johann Knechtel, Ozgur Sinanoglu, Muhammad Shafique, Ramesh Karri, Xiaolong Guo

Conference

TokEval: A Tokenizer Analysis Suite Clara Meister

Conference

Unifying Group-Relative and Self-Distillation Policy Optimization via Sample Routing Gengsheng Li, Tianyu Yang, Junfeng Fang, Mingyang Song, Mao Zheng, Haiyun Guo, Dan Zhang, Jinqiao Wang, Tat-Seng Chua

Conference

SMETA-ZSL: Semantic Meta-Alignment for Zero-Shot Threat Classification Ivan Montoya-Sanchez, Anantaa Kotal, Aritran Piplai

Conference

From Papers to Panoramas: Building Hierarchies of Scientific Literature at Scale Muhan Gao, Jash Shah, Weiqi Wang, Kuan-Hao Huang, Daniel Khashabi

Conference

DARE: Diffusion Large Language Models Alignment and Reinforcement Executor Jingyi Yang, Yuxian Jiang, Xuhao Hu, Shuang Cheng, Biqing Qi, Jing Shao

Conference

Characterizing Model-Native Skills Feiyang Kang, Mahavir Dabas, Myeongseob Ko, Ruoxi Jia

Conference

Human vs Machine Translation Detection: A Cross-Model, Cross-Domain, and Low-Resource Analysis Yabsera Yemanberhan, Prasenjit Mitra, Roald Eiselen

Conference

CHASE: How Content Ecosystems Are Reshaped When Ranking Is the Only Target Qianwen Gao, Zichang Su, Yiwen Hou, Arlen Kumar, Leanid Palkhouski

Conference

LLM Knowledge is Brittle: Truthfulness Representations Rely on Superficial Resemblance Patrick Haller, Mark Ibrahim, Polina Kirichenko, Levent Sagun, Samuel J Bell

Conference

AVMeme Exam: A Multimodal Multilingual Multicultural Benchmark for LLMs' Contextual and Cultural Knowledge and Thinking Xilin Jiang, Qiaolin Wang, Junkai Wu, Xiaomin He, Zhongweiyang Xu, Yinghao Ma, Minshuo Piao, Kaiyi Yang, Xiuwen Zheng, Riki Shimizu, Yicong Chen, Arsalan Firoozi, Gavin Mischler, Sukru S Dindar, Richard Antonello, Linyang He, Tsun-An Hsieh, Xulin Fan, Yulun Wu, Yuesheng Ma, Chaitanya Amballa, Weixiong Chen, Jiarui Hai, Ruisi Li, Vishal Choudhari, Cong Han, Yinghao A Li, Adeen Flinker, Mounya Elhilali, Emmanouil Benetos, Mark Hasegawa-Johnson, Romit Roy Choudhury, Nima Mesgarani

Conference

PCA-guided Activation Scaling for Monotonic Bidirectional Control over LLM Sycophancy Zheng CHEN, Zhaoxin Feng, Yip T Po, Jianfei Ma, Emmanuele Chersoni, Bo Li

Conference

In-Context Examples Suppress Scientific Knowledge Recall in LLMs Chaemin Jang, Woojin Park, Hyeok Yun, Dongman Lee, Jihee Kim

Conference

“I Didn’t Make the Micro Decisions”: Measuring, Inducing, and Exposing Goal-Level AI Contributions in Collaboration Eunsu Kim, Jessica R Mindel, Kyungjin Kim, Sherry Wu

Conference

EgoMemReason: A Memory-Driven Reasoning Benchmark for Long-Horizon Egocentric Video Understanding Ziyang Wang, Yue Zhang, Shoubin Yu, Ce Zhang, Zengqi Zhao, Jaehong Yoon, Hyunji Lee, Gedas Bertasius, Mohit Bansal

Conference

Can Large Language Models Match Human Diversity in Educational Content Generation? Mei Tan, Hyunji (Alex) Nam, Dorottya Demszky

Conference

Wired for Overconfidence: A Mechanistic Perspective on Inflated Verbalized Confidence in LLMs Tianyi Zhao, Yinhan He, Wendy Zheng, Yujie Zhang, Chen Chen

Conference

CoSearch: Joint Training of Reasoning and Document Ranking via Reinforcement Learning for Agentic Search Hansi Zeng, Liam Collins, Bhuvesh Kumar, Neil Shah, Hamed Zamani

Conference

VisCodeBench: a new benchmark dataset for Text-to-Vis reflecting real-world practice Hy Nguyen, Thomas J Elton, Ella Wilson, Cecile Paris, Andrew Reeson, Josiah Poon, Jonathan Kummerfeld

Conference

Quality of Rejections Matters: Preference Data Construction for Faithful Summarization Jihwan Oh, Taewon Yun, Minkyu Che, Sundong Kim, Hwanjun Song

Conference

Budget-Aware Tool Use Enables Effective Agent Scaling Kexun Zhang, Zifeng Wang, Jin Miao, I-Hung Hsu, Jun Yan, Jiefeng Chen, Rujun Han, Fangyuan Xu, Yanfei Chen, Ke Jiang, Samira Daruki, Yi Liang, William Yang Wang, Tomas Pfister, Chen-Yu Lee

Conference

Understanding Calibration and Truncation Error Propagation in Training-Free Low-Rank Compression for LLMs Mohanad Odema, Gabrielle De Micheli, Dayin Gou, Nilesh Malpeddi, Prathamesh Vaste, Jacob Song

Conference

Overconfidence and Calibration in Medical VQA: Empirical Findings and Hallucination-Aware Mitigation Ji Young Byun, Young-Jin Park, Jean-Philippe Corbeil, Asma Ben Abacha

Conference

The Devil Is in the Interface: Evaluating How Tool Architecture Shapes Coding Agent Behavior Xiangzhe (Alex) Xu, Hamidreza Saghir, Qianhui Wu, Marc-Alexandre Côté, Tong Wang, Kiran Lakkaraju, Kexin Pei, Xiangyu Zhang

Conference

Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcycling Fan Jiang, Yu Zhao, Chenyang Lyu, Tianqi Shi, Yichao Du, Feihu Jiang, Longyue Wang, Weihua Luo

Conference

Clarify or Answer: Reinforcement Learning for Agentic VQA with Context Under-specification Zongwan Cao, Bingbing Wen, Lucy Lu Wang

Conference

BibTeX Citation Errors in Scientific Publishing Agents: Evaluation and Mitigation Delip Rao, Chris Callison-Burch

Conference

Breaking Memorization Barriers in LLM Code Fine-Tuning via Information Bottleneck for Improved Generalization Changsheng Wang, Xin Chen, Sijia Liu, Ke Ding

Conference

Path-Lock Expert: Separating Reasoning Mode in Hybrid Thinking via Architecture-Level Separation Shouren Wang, wang yang, Chuang Ma, Debargha Ganguly, Vikash Singh, Chaoda Song, Xinpeng Li, Xianxuan Long, Vipin Chaudhary, Xiaotian Han

Conference

AgentIR: Reasoning-Aware Retrieval for Deep Research Agents Zijian Chen, Xueguang Ma, Shengyao Zhuang, Jimmy Lin, Akari Asai, Victor Zhong

Conference

MoRFI: Monotonic Sparse Autoencoder Feature Identification Dimitris Dimakopoulos, Shay B Cohen, Ioannis Konstas

Conference

Awakening the Sleeping Agent: Lean-Specific Agentic Data Reactivates General Tool Use in Goedel Prover Jui-Hui Chung, Hongzhou Lin, Lai Jiang, Shange Tang, Chi Jin

Conference

Gradual Code-Switching as Inference-Time Cross-Lingual Representational Alignment for LLMs Haneul Yoo, Jiho Jin, Kyunghyun Cho, Alice Oh

Conference

Spectral Principal Paths: A Spectral Perspective on Linear Representation Formation in LLMs Bowei Tian, Xuntao Lyu, Meng Liu, Hongyi Wang, Ang Li

Conference

Who Guards the Benchmarks? Automated Auditing of LLM Agent Benchmarks Xinming Tu, Tianze Wang, Minta Lu, Kexin Huang, Yuanhao Qu, Sara Mostafavi

Conference

Autorubric: A Unifying Framework for Rubric-Based LLM Evaluation on Non-Verifiable Tasks Delip Rao, Chris Callison-Burch

Conference

SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training Shengkun Tang, Zekun Wang, Bo Zheng, Liangyu Wang, Rui Men, Siqi Zhang, Xiulong Yuan, Zihan Qiu, Zhiqiang Shen, Dayiheng Liu

Conference

ADMM-Q: An Improved Hessian-based Weight Quantizer for Post-Training Quantization of Large Language Models Ryan Lucas, Mehdi Makni, Xiang Meng, Adam Deng, Rahul Mazumder

Conference

From Mechanism Discovery to Proposal Closure: Graph-Grounded Hierarchical Search for Scientific Ideation Zijian Hu, Hanqi Li, Zijian Wang, Tiancheng Huang, Chenrun Wang, Ziyue Yang, Kai Yu, Lu Chen

Conference

QLPO: Quadrant-weighted sampling for Length-aware Policy Optimization Siwei Chen, SiQi Chen, Xupeng Miao, Bin CUI

Conference

FLINT: Influence-Guided Active Learning Framework for LoRA via Curvature-Aware Data Selection and Fine-Tuning Zixuan Li, Shenglan Guo, Zhigen Li, Yanmeng Wang, Ning Cheng, Shaojun Wang, Deyi Xiong

Conference

MomentKV: Closing the Directional Gap in KV Cache Eviction for Long-Context Inference Yu Li, Binxu Li, Tian Lan

Conference

PreScam: A Benchmark for Predicting Scam Progression from Early Conversations Weixiang Sun, Shang Ma, Yiyang Li, Tianyi Ma, Zehong Wang, Colby Nelson, Xusheng Xiao, Yanfang (Fanny) Ye

Conference

Gaze Attention: Query-Adaptive Visual Routing for Efficient Multimodal LLMs Junha Song, Byeongho Heo, Geonmo Gu, Jaegul Choo, Dongyoon Han, Sangdoo Yun

Conference

Learning to Learn from Language Feedback with Social Meta-Learning Jonathan Cook, Diego Antognini, Martin Klissarov, Claudiu C Musat, Edward Grefenstette

Conference

Rubrics to Tokens: Bridging Response-level Rubrics and Token-level Rewards in Instruction Following Tasks Tianze Xu, Yanzhao Zheng, Pengrui Lu, Lyumanshan Ye, Yong Wu, Zhentao Zhang, Yuanqiang Yu, Chao Ma, Jihuai Zhu, Pengfei Liu, Baohua Dong, Hangcheng Zhu, Ruohui Huang, Gang Yu

Conference

Beyond expert users: agents should help users construct preferences, not just elicit them Irena Saracay, Ludwig Schmidt, Carlos Guestrin

Conference

$p1$: Better Prompt Optimization with Fewer Prompts Zhaolin Gao, Sid Wang, Bo Liu, Thorsten Joachims, Kianté Brantley, Wen Sun

Conference

FutureWeaver: Planning Test-Time Compute for Multi-Agent Systems with Modular Collaboration Dongwon Jung, Peng Shi, Muhao Chen, Yi Zhang

Conference

Beware What You Autocomplete: Forensic Attribution of Backdoored Code Completions Anjun Gao, Yueyang Quan, Zhuqing Liu, Minghong Fang

Conference

SoftmaxGRPO: Learning to Reason using Softmax Advantage Group Estimation Jefferson Hernandez, Jaywon Koo, Zilin Xiao, Chen Wei, Vicente Ordonez

Conference

ConsumerBench: Benchmarking Generative AI Applications on End-User Devices Michael Gu, Rohan Kadekodi, Sahi Chitrapu, Aradhya Agrawal, Camille Sawa, Hoang D Nguyen, Keisuke Kamahori, Yiyu Liu, Baris Kasikci

Conference

On the Impossibility of Retrain Equivalence in Machine Unlearning Jiatong Yu, Sanjeev Arora, Yinghui He, Anirudh Goyal

Conference

Credit Cards, Confusion, Computation, and Consequences: What Can We Uncover About Language Model Reasoning? Arnav Hiray, Agam Shah, Caleb Lu, Meghaj Tarte, Harsit Mittal, Sudheer Chava

Conference

StoryScope: Investigating idiosyncrasies in AI fiction Jenna Russell, Rishanth Rajendhran, Mohit Iyyer, John F Wieting

Conference

TraceSafe: A Systematic Assessment of LLM Guardrails on Multi-Step Tool-Calling Trajectories Yen-Shan Chen, Sian-Yao Huang, Cheng-Lin Yang, Yun-Nung Chen

Conference

Switching Linear Attention Hyun Dong Lee, Xavier Gonzalez, Nicolas Zucchet, E. Kelly Buchanan, Emily Fox, Scott Linderman

Conference

Attribution Bias in Large Language Models Eliza H Berman, Bella Chang, Daniel B Neill, Emily Black

Conference

GRRR: The Geometry of Reshaping, Rotation, and Routing in Decoder LLM Post Training Jianing Qi, Hao Tang, Zhigang Zhu

Conference

CreativityBench: Evaluating Creative Reasoning via Affordance-Based Tool Repurposing Cheng Qian, Hyeonjeong Ha, Jiayu Liu, Bingxiang He, Jeonghwan Kim, Jiateng Liu, Bingxuan Li, Aditi Tiwari, Dwip Dalal, Zhenhailong Wang, Xiusi Chen, Aleksey Panasyuk, Mahdi Namazifar, Yunzhu Li, Heng Ji

Conference

Visual Aesthetic Benchmark: Can Frontier Models Judge Beauty? Yichen Feng, Yuetai Li, Chunjiang Liu, Fengqing Jiang, Yue Huang, Yuanyuan Chen, Hang Hua, Zhengqing Yuan, Kaiyuan Zheng, Luyao Niu, Bhaskar Ramasubramanian, Basel Alomair, Xiangliang Zhang, Misha Sra, Zichen Chen, Radha Poovendran, Zhangchen Xu

Conference

Persona Non Grata: Single-Method Safety Evaluation Is Incomplete for Persona-Imbued LLMs Wenkai Li, Fan Yang, Shaunak A Mehta, Koichi Onoue

Conference

RELISH: LLM REgression with a Latent Iterative State Head Yiheng Su, Matt Lease

Conference

The Percept-V Challenge: Can Multimodal LLMs Crack Simple Perception Problems? Samrajnee Ghosh, Ashish Goswami, Naman Agarwal, Hemanshu Garg, Chinmay Mittal, Mausam ., Parag Singla

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MT-PINGEVAL: Evaluating Multi-Turn Collaboration with Private Information Games Jacob Eisenstein, Fantine Huot, Adam Fisch, Jonathan Berant, Mirella Lapata

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Coding Agents Don’t Know When to Act Thibaud Gloaguen, Niels Mündler-Sasahara, Mark Niklas Müller, Veselin Raychev, Martin Vechev

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Automatic or Controlled? Repetition Priming Reveals Divergent Processing in Base LLMs, Instruct LLMs, and Humans Jinglei Ren, Yuyue Wang

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HISA: Efficient Hierarchical Indexing for Fine-Grained Sparse Attention Yufei Xu, Fanxu Meng, Fan Jiang, Yuxuan Wang, Ruijie Zhou, Zhaohui Wang, Jiexi Wu, Zhixin Pan, Xiaojuan Tang, Wenjie Pei, Tongxuan Liu, di yin, Xing Sun, Muhan Zhang

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GradAlign: Gradient-Aligned Data Selection for LLM Reinforcement Learning Ningyuan Yang, Weihua Du, Weiwei Sun, Sean Welleck, Yiming Yang

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FIPO: Eliciting Deep Reasoning with Future-KL Influenced Policy Optimization Chiyu Ma, Shuo Yang, Kexin Huang, Jinda Lu, Haoming Meng, Shangshang Wang, Bolin Ding, Soroush Vosoughi, Guoyin Wang, Jingren Zhou

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How Transformers Learn to Plan via Multi-Token Prediction Jianhao Huang, Zhanpeng Zhou, Renqiu Xia, Baharan Mirzasoleiman, Weijie Su, Wei Huang

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Instruct-FD: Can Your Full-Duplex Speech System Follow Turn-Taking Instructions? Yuzhi Tang, Wentao Ma, Xiling Zhao, Ahmad Salimi, Sepehr H Moridani, Dongming Shen, Jixuan Wang, Abdulrahman Abdulrazzag, Murdock Aubry, Yu-Hua Chen, Daniel Lee, Jaewon Lee, Jonah Mackey, Silin Meng, Nicholas Stranges, Chenxu Xiong, Hao Yu, Yi Zhu, Mu Li, Alex Smola

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Scaling Self-Play with Self-Guidance Luke Bailey, Kaiyue Wen, Kefan Dong, Tatsunori Hashimoto, Tengyu Ma

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Beyond Semantics: Rediscovering Spatial Awareness in Vision-Language Models Jianing Qi, Jiawei Liu, Hao Tang, Zhigang Zhu

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Transformer See, Transformer Do: Copying as an Intermediate Step in Learning Analogical Reasoning Philipp Tobias Hellwig, Willem Zuidema, Claire E Stevenson, Martha Lewis

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Diversity or Precision? A Deep Dive into Next Token Prediction Haoyuan Wu, Hai Wang, Wujiajia, Jinxiang Ou, keyaowang, Weile Chen, Zihao Zheng, Bei Yu

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Thinking Without Words: Efficient Latent Reasoning with Abstract Chain-of-Thought Keshav Ramji, Tahira Naseem, Ramón Fernandez Astudillo

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Counterfactual Simulation Training for Chain-of-Thought Faithfulness Peter Hase, Christopher Potts

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Statistically-Lossless Quantization of Large Language Models Michael A. Helcig, Eldar Kurtic, Dan Alistarh

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MathDuels: A Self-Play Benchmark That Grows Oscar Xu, Shibo Jin, Shreya Arya, Mayur Naik

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Catching rationalization in the act: detecting motivated reasoning before and after CoT via activation probing Parsa Mirtaheri, Mikhail Belkin

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MAPLE: Metadata Augmented Private Language Evolution Eli Chien, Yuzheng Hu, Ryan McKenna, Shanshan Wu, Zheng Xu, Peter Kairouz

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Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad-Level Mathematical Problem Solving Yuzhe Gu, Songyang Gao, Zijian Wu, Lingkai Kong, Wenwei Zhang, ZhongruiCai, Fan Zheng, Tianyou Ma, Junhao Shen, Haiteng Zhao, Duanyang Zhang, Huilun Zhang, Kuikun Liu, Chengqi Lyu, YanhuiDuan, Chiyu Chen, Ningsheng Ma, Jianfei Gao, Han Lyu, Dahua Lin, Kai Chen

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FPEdit: Robust LLM Fingerprinting through Localized Parameter Editing Shida Wang, Chaohu Liu, Yubo Wang, Linli Xu

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Does Episodic Memory Help Close the Lexical Frequency Gap in Sensitivity to Syntactic Contrasts? A Test Using Retrieval-Augmented Language Models Jing Liu, Najoung Kim

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Evaluating the Retrieval Robustness of Large Language Models Shuyang Cao, Karthik Radhakrishnan, David S Rosenberg, Steven Lu, Pengxiang Cheng, Lu Wang, Shiyue Zhang

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WorldPM: Scaling Human Preference Modeling via Real-World Feedback Binghai Wang, Runji Lin, Keming Lu, Le Yu, Zhenru Zhang, Fei Huang, Chujie Zheng, Kai Dang, Yang Fan, An Yang, Binyuan Hui, Dayiheng Liu, Tao Gui, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang, Bowen Yu, Jingren Zhou, Junyang Lin

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MEMENTO: Teaching LLMs to Manage Their Context Vasilis Kontonis, Yuchen Zeng, Shivam Garg, Lingjiao Chen, Hao Tang, Ziyan Wang, Ahmed H Awadallah, Eric Horvitz, John Langford, Dimitris Papailiopoulos

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Mask-Aware Policy Gradients for Diffusion Language Models Haran Raajesh, Kulin Shah, Adam Klivans, Philipp Kraehenbuehl

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Test-Time Scaling in Reasoning Models Is Not Effective for Knowledge-Intensive Tasks Yet James Xu Zhao, Bryan Hooi, See-Kiong Ng

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Shorter, but Still Trustworthy? An Empirical Study of Chain-of-Thought Compression Lingjie Zeng, Xiaofan Chen, Yanbo Wang, Xiuying Chen

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Forgetting to Forget: Attention Sink as A Gateway for Backdooring LLM Unlearning Bingqi Shang, Yiwei Chen, Yihua Zhang, Bingquan Shen, Sijia Liu

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RewardHarness: Learning Human Preferences for Image Editing with Only 100 Demonstrations Yuxuan Zhang, Cong Wei, Penghui Du, Bo Li, Huaisong Zhang, Songcheng Cai, Yubo Wang, Dongfu Jiang, Yuyu Zhang, Changqian Yu, Ping Nie, Wenhu Chen, Kelsey R Allen

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LPDS: Evaluating LLM Robustness Through Logic-Preserving Difficulty Scaling Philipp Mondorf, Samuel J Bell, Jesse Dodge, Dieuwke Hupkes

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Logarithmic Scores, Power-Law Discoveries: Disentangling Measurement from Coverage in Agent-Based Evaluation HyunJoon Jung, William Na

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Batch-wise Adaptive Pruning: Periodic Neuron Activation-Aware Weight Pruning for Language Reasoning Model Yongmin Kim, Shota Takashiro, Yusuke Iwasawa, Takeshi Kojima, Yutaka Matsuo

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Learning from Failures: Correction-Oriented Policy Optimization with Verifiable Rewards Mengjie Ren, Jie Lou, Boxi Cao, Xueru Wen, Hongyu Lin, Xianpei Han, Le Sun, XingYu Li, Yaojie Lu

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Recursive Agent Optimization Apurva Gandhi, Satyaki Chakraborty, Xiangjun Wang, Aviral Kumar, Graham Neubig

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V-DEAL: Diagnosing Video Safety De-Calibration as an Understanding--Refusal Coupling Failure Zhetong Zhang, Honghao Fu, Miao Xu, Yiwei Wang, Yujun Cai

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Preference Redirection via Attention Concentration: An Attack on Computer Use Agents Dominik Seip, Matthias Hein

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KoSimpleQA: A Korean Factuality Benchmark with an Analysis of Reasoning LLMs Donghyeon Ko, Kyubyung Chae, Yeguk Jin, Byungwook Lee, Chansong Jo, Sookyo In, Jaehong Lee, Taesup Kim, Donghyun Kwak

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Safe Inference-Time Alignment via Lagrangian Reward Augmentation Yaswanth Chittepu, Ativ Joshi, Sohini Chintala, Scott Niekum

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Revision or Re-Solving? Decomposing Second-Pass Gains in Multi-LLM Pipelines Jingjie Ning, Xueqi Li, Chengyu Yu

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RankBALD: Ranking-Aligned Active Evaluation for Language Models Bonaventure F. P. Dossou, Jackie Cheung

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Overton Pluralistic Reinforcement Learning for Large Language Models Yu Fu, Seongho Son, Ilija Bogunovic

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Learning as Reasoning Unfolds: Progressive Rollout Allocation for Efficient Reinforcement Learning Heyang Jiang, Henry Liu, Baharan Mirzasoleiman

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Arithmetic in the Wild: Llama uses Standard Addition to Reason About Cyclic Concepts Sheridan Feucht, Tal Haklay, Usha Bhalla, Daniel Wurgaft, Can Rager, Jack Merullo, Thomas McGrath, Raphaël Sarfati, Owen Lewis, Ekdeep Singh Lubana, Thomas Fel, Atticus Geiger

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All-Weather VLM: Enhancing Vision Language Models' Robustness Under Adverse Imaging Conditions Tianfu Wang, Mingyang Xie, Haoming Cai, Tianyi Xiong, Xiyao Wang, Dongdong Fu, Guan-Ming Su, Paola Cascante-Bonilla, Christopher Metzler

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Measuring Pragmatic Influence in LLM Instructions Yilin Geng, Omri Abend, Eduard Hovy, Lea Frermann

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Risk Profiling and Modulation for LLMs Yikai Wang, Guanting Chen, Xiaocheng Li

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STATe-of-Thoughts: Structured Action Templates for Tree-of-Thoughts Zachary E Bamberger, Till Raphael Saenger, Gilad Morad, Ofra Amir, Brandon M Stewart, Amir Feder

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Identity, Cooperation and Framing Effects within Groups of Real and Simulated Humans Suhong Moon, Minwoo Kang, Joseph Suh, Mustafa Safdari, John Canny

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A Diagnostic Failure Taxonomy and Trajectory Critic for Data Agent Improvement Suchen Liu, Yuanfeng SONG, Jun Gao, Xing Chen

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Why Vision Fails as a Universal Bridge: Rectifying Modality Asynchrony in Multilingual MLLMs Yihang Du, Juhao Liang, Zhengzhao Lai, Siyu Li, Yan Hu

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Learning to Comply: Workflow-Grounded Environment Generation for Training Procedurally Compliant Agents Seungwon Lim, Minu Kim, Seokhee Hong, Jinyoung Yeo, Se-Young Yun, Joonkee Kim

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Interaction Protocol Shapes Moral Judgment in Multi-Agent Debate Pratik Sachdeva, Tom van Nuenen

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BugScope: Learn to Detect Bugs Like Human Jinyao Guo, Chengpeng Wang, Dominic DeLuca, Jinjie Liu, Zhuo Zhang, Xiangyu Zhang

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AI Assistance Reduces Persistence and Hurts Independent Performance Grace Liu, Brian Christian, Tsvetomira Dumbalska, Michiel A Bakker, Rachit Dubey

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Detecting and Suppressing Reward Hacking with Gradient Fingerprints Songtao Wang, Quang Hieu Pham, Fangcong Yin, Xinpeng Wang, Jocelyn Qiaochu Chen, Greg Durrett, Xi Ye

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Teaching LLMs to Self-Evolve: Cultivating Core Meta-Skills with Reinforcement Learning Shujin Wu, Cheng Qian, Xiusi Chen, Heng Ji

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Spoiler Alert: Narrative Forecasting as a Metric for Tension in LLM Storytelling Patrick Sui, Yutong Zhu, Tianyi Cheng, Peter West, Richard J So, Hoyt Long, Ari Holtzman

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Improved Robustness against Indirect Prompt Injection Can Be Built into LLMs Mehmet Özdinçer, Samuel Simko, Bernhard Schölkopf, Zhijing Jin

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SAKE: Structured Agentic Knowledge Extrapolation for Complex LLM Reasoning via Reinforcement Learning Jiashu He, Jinxuan Fan, Bowen Jiang, Ignacio Hounie, Dan Roth, Alejandro Ribeiro

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Exploring Temporal Curriculum in On-Policy Distillation for Multi-turn Autonomous Agents Jiaqi WANG, Wenhao Zhang, Weijie Shi, Yaliang Li, James Cheng

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Where Did It Go Wrong? Process-Level Evaluation of Web Agents with Semantic State Tracking Jiwan Chung, JiHyuk Byun, Vibhav Vineet, Seon Joo Kim

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Recovering Wasted Compute in Autoresearch Agents Au K Chun, Amrutha Rao, Abhigyan Acherjee, Zaiqian Chen, Kazem Meidani, C. B Bruss, Micah Goldblum

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Towards Comprehensive Mobile Application Testing for User-centric Feature Coverage via Simulating Real-World Users with Personas Ha Min Son, Huan Ren, Huan Song, Zhe Zhao, Xin Liu

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OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data yuwen du, Rui Ye, Shuo Tang, Xinyu Zhu, Yijun Lu, Yuzhu Cai, Siheng Chen

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DepthSSD: Rethinking Residual Connections via State Space Models on the Depth Axis Zhengqing Yuan, Xiaoyu Ma, Yunhong He, Zhengtao Yao, Lichao Sun, Yanfang (Fanny) Ye

Conference

Learning Steerable Clarification Policies with Collaborative Self-play Jonathan Berant, Maximillian Chen, Adam Fisch, Reza Aghajani, Fantine Huot, Mirella Lapata, Jacob Eisenstein

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Building Multi-Task Agentic LLMs via Two-Phase Distillation Huaijie Wang, Shusheng Xu, Yi Wu, Kaifeng Lyu

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The Shrinking Lifespan of LLMs in Science Ana Trišović

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Do Depth-Grown Models Overcome The Curse Of Depth? An In-Depth Analysis Ferdinand Kapl, Emmanouil Angelis, Tobias Höppe, Kaitlin Maile, Johannes von Oswald, Nino Scherrer, Stefan Bauer

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Unveiling the Mechanisms of Multi-Hop Reasoning in Transformers via Identity Bridge Pengxiao Lin, Zheng-An Chen, Zhi-Qin J Xu

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Bridging Databases and Documents: Data-Algorithm Co-Design for Hybrid Question Answering Ruofan Wu, Boyi Liu, Fan Shu, Yite Wang, Zhewei Yao, Yuxiong He, Feng Yan

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From Plausible to Grounded: Reinforcing Structured Consistency in Video MLLMs Yihao Quan, Zeru Shi, Jinman Zhao, Ruixiang Tang

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Self-Preference Bias in Rubric-Based Evaluation of Large Language Models José Pombal, Ricardo Rei, Andre Martins

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Generating Pretraining Tokens from Organic Data for Data-Bound Scaling Zichun Yu, Chenyan Xiong

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Principled and Scalable Diversity-Aware Retrieval via Cardinality-Constrained Binary Quadratic Programming Qiheng Lu, Nicholas D Sidiropoulos

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FlexRouter: Learning Complementary Model Sets for Flexible LLM Routing Wang Wei, Hongzheng Yang, Tiankai Yang, Samyadeep Basu, Hongjie Chen, Yue Zhao, Franck Dernoncourt, Ryan Rossi, Hoda Eldardiry

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DarwinLM: Evolutionary Structured Pruning of Large Language Models Shengkun Tang, Oliver Sieberling, Eldar Kurtic, Zhiqiang Shen, Dan Alistarh

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Measuring AI "Slop" in Text Chantal Shaib, Tuhin Chakrabarty, Diego Garcia-Olano, Byron Wallace

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CrystalSTAR: Structured Action Orchestration with Trio-Reflection for Constrained Novel Crystal Discovery Chenyi Tong, Jingru Gan, Yanqiao Zhu, Kaiqiao Han, Haixin Wang, Yizhou Sun, Wei Wang, Xiao Luo

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ASPIRE: Asynchronous Batched Self-Speculative Decoding for Long-Context LLM Inference Amir Ziashahabi, Hossein Entezari Zarch, Lei Gao, Murali Annavaram, Salman Avestimehr

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Communication and Verification in LLM Agents towards Collaboration under Information Asymmetry Run Peng, Ziqiao Ma, Amy Pang, Sikai Li, Zhang Xi-Jia, Yingzhuo Yu, Cristian-Paul BARA, Joyce Chai

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Sememe: Causal Modeling for Task-Aware Depth Pruning of Large Language Models Charles Yu, Heng Ji

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SocialVeil: Probing Social Intelligence of Language Agents under Communication Barriers Keyang Xuan, Pengda Wang, Chongrui Ye, Haofei Yu, Tal August, Jiaxuan You

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Distractor Injection Attacks on Large Reasoning Models: Characterization and Defense Zhehao Zhang, Weijie Xu, Shixian Cui, Chandan Reddy

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OpenMobile: Building Open Mobile Agents with Task and Trajectory Synthesis Kanzhi Cheng, Zehao Li, Zheng Ma, Nuo Chen, Jialin Cao, Qiushi Sun, Zichen Ding, Fangzhi Xu, Hang Yan, Jiajun Chen, Anh Tuan Luu, Jianbing Zhang, Lewei Lu, Dahua Lin

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Can AI Truly Represent Your Voice in Deliberations? A Comprehensive Study of Large-Scale Opinion Aggregation with LLMs Shenzhe Zhu, SHU YANG, Michiel A Bakker, Alex Pentland, Jiaxin Pei

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Data-efficient pre-training by scaling synthetic megadocs Konwoo Kim, Suhas Kotha, Yejin Choi, Tatsunori Hashimoto, Nick Haber, Percy Liang

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No Single Best Model for Diversity: Learning a Router for Sample Diversity Yuhan Liu, Fangyuan Xu, Vishakh Padmakumar, Daphne Ippolito, Eunsol Choi

Conference

Document-as-Image Representations Fall Short for Scientific Retrieval Ghazal Khalighinejad, Raghuveer Thirukovalluru, Alexander H Oh, Bhuwan Dhingra

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Mitigating Knowledge Conflicts of Retrieval-Augmented Generation through Dual-Stage Confidence Measurement in Semantic Space Jia Zhang, Zhiheng Zhang, Zeao ji, Tengfei Ma, Daojian Zeng

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When Verification Fails: How Compositionally Infeasible Claims Escape Rejection Muxin Liu, Delip Rao, Grace Kim, Chris Callison-Burch

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TSRouter: Dynamic Modality-Model Selection for Time Series Reasoning Fangxu Yu, Tao Feng, Dehai Min, Lu Cheng, Ge Liu, Tianyi Zhou

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Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Space Yiwei Chen, Bingqi Shang, Sijia Liu

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JMedEthicBench: A Multi-Turn Adversarial Benchmark for Japanese Medical Ethics Alignment in LLMs Junyu Liu, Zirui Li, Qian Niu, Zequn Zhang, Yue Xun, Wenlong Hou, Shujun Wang, Yusuke Iwasawa, Yutaka Matsuo, Kan Hatakeyama-Sato

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KTPO: K-Step Test-Time Policy Optimization for Long- Horizon Discovery Dacheng Li, Fangzhou Zhao, Shiyi Cao, Hao Zhang, Joseph E Gonzalez, Ion Stoica

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Hyperloop Transformers Abbas Zeitoun, Lucas Torroba-Hennigen, Yoon Kim

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Verbalizing LLMs' assumptions to explain and control sycophancy Myra Cheng, Isabel Sieh, Humishka Zope, Sunny Yu, Lujain Ibrahim, Aryaman Arora, Jared Moore, Desmond Ong, Dan Jurafsky, Diyi Yang

Conference

The Format Tax: Separating the Cost of Requesting Structure from the Cost of Enforcing It Ivan Lee, Loris DAntoni, Taylor Berg-Kirkpatrick

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DRBENCHER: Can Your Agent Identify the Entity, Retrieve Its Properties and Do the Math? Young-Suk Lee, Ramón Fernandez Astudillo, Radu Florian

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Red-Teaming Text-to-Image Models via In-Context Experience Replay and Semantic-Preserving Prompt Rewriting Zhi-Yi Chin, Pin-Yu Chen, Wei-Chen Chiu, Mario Fritz

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Prototype Language Models Dan Ley, Giang Nguyen, Himabindu Lakkaraju, Julius Adebayo

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From SWE-ZERO to SWE-HERO: Execution-free to Execution-based Fine-tuning for Software Engineering Agents Nikolai Ludwig, Wasi Ahmad, Somshubra Majumdar, Boris Ginsburg

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Accelerating Speculative Decoding with Block Diffusion Draft Trees Liran Ringel, Yaniv Romano

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Odysseus: Scaling VLMs to 100+ Turn Decision-Making in Games via Reinforcement Learning Chengshuai Shi, Wenzhe Li, Xinran Liang, Yizhou Lu, Wenjia Yang, Ruirong Feng, Seth Karten, Ziran Yang, Zihan Ding, Gabriel H Sarch, Danqi Chen, Karthik Narasimhan, Chi Jin

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Spillover-Aware Multi-Value Steering for Pluralistic LLM Alignment Weici Pan, Xander Barron, Jiawei Zhou, Zhenhua Liu

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Legibility is Not Interpretability: Comparing Judged and Actual Importance in Chain-Of-Thought Reasoning Kevin Du, Alexander M Hoyle, Laura Ruis, Acyr Locatelli

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Preserving Long-Tailed Expert Information in Mixture-of-Experts Tuning Haoze He, Xingyuan Ding, Xuan Jiang, Xinkai Zou, Alex Cheng, Yibo Zhao, Juncheng B Li, Heather Miller

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Vocabulary Dropout for Curriculum Diversity in LLM Co-Evolution Jacob Dineen, Aswin RRV, Zhikun Xu, Ben Zhou

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More Than Words: Compositional Tokenization for Efficient Language Models Yuval Reif, Guy Kaplan, Roy Schwartz

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CAP: A Scalable Benchmark for Evaluating Cross-Site Browser Agents with Complex Actions and Perception Zejun Xu, Taiyi Chen, Jin Li, Yongtong Gu, QiCheng, Lvaixuan, Zhu shuai, ZhuPengfei, Kaichen Yang, Sun Boyu, YixianYang, Mulong Xie, XIN LIU, Dagang Li, Xiaoteng Ma, Hongru WANG

Conference

What does RL improve for Visual Reasoning? A Frankenstein-Style Analysis Xirui Li, Ming Li, Tianyi Zhou

Conference

$\textit{Hidden in the Haystack:}$ Smaller Needles are More Difficult for LLMs to Find Owen Bianchi, Mathew J Koretsky, Tanay Nayak, Maya Willey, Chelsea X Alvarado, Adi Asija, Nicole Kuznetsov, Michael Nalls, Faraz Faghri, Daniel Khashabi

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Back to Basics: Let Conversational Agents Remember with Just Retrieval and Generation Yuqian Wu, Wei Chen, Zhengjun Huang, Junle Chen, Qingxiang Liu, Kai Wang, Xiaofang Zhou, Yuxuan Liang

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A Blind Spot in Alignment: Quantifying Biosecurity Risks in Large Language Models Shu Quan, Tianfang Hao, Sitong Fang, He GENG, Jiayi Zhou, Boyuan Chen, Kaile Wang, Donghai Hong, Juntao Dai, Yaodong Yang, Jiaming Ji

Conference

WebReal: Benchmarking DeepSearch Agents on Real-world User Information Needs Yifei Wang, Shangwen Lv, Zhiyuan Xiong, Haoyuan Zhang, Yue Zhang, Rex Wang, Runquan Xie, Linjing Li, Zhanhui Kang, Daniel D Zeng

Conference

Uncertainty as a Planning Signal: Multi-Turn Decision Making for Goal-Oriented Conversation Xinyi Ling, Ye Liu, Reza Averly, Xia Ning

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CollabSkill: Evaluating Human-Agent Collaboration On Real-World Tasks Yijia Shao, Zora Wang, Neel Ahuja, Yicheng Wang, Bowen Liu, Diyi Yang

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Prescriptive Scaling Laws for Data Constrained Training Justin Lovelace, Christian Belardi, Srivatsa Kundurthy, Shriya Sudhakar, Kilian Weinberger

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PM-Bench: Evaluating Prospective Memory of LLM Agents Genglin Liu, Saadia Gabriel

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FoR-SALE: Frame of Reference-guided Spatial Adjustment in LLM-based Diffusion Editing Tanawan Premsri, Parisa Kordjamshidi

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MedAction: Towards Active Multi-turn Clinical Diagnostic LLMs Hsin-Ling Hsu, Zizheng Wang, Donghua Zhang, Nai-Chia Chen, Jerry Wang, Jun-En Ding, Chia-Hsuan Hsu, Guoan Wang, Feng Liu, Fang M Hung, Chenwei Wu, Liyue Shen

Conference

Lower-Resource, Higher Scores: Language Bias in LLM Evaluators Ej Zhou, Lucas Resck, Zheng Hui, Anna Korhonen

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Benchmark Designers Should "Train on the Test Set" to Expose Exploitable Non-Visual Shortcuts Ellis Brown, Jihan Yang, Shusheng Yang, Rob Fergus, Saining Xie

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MetaState: Persistent Working Memory Enhances Reasoning in Discrete Diffusion Language Models Kejing Xia, Mingzhe Li, Lixuan Wei, Zhenbang Du, Xiangchi Yuan, Dachuan Shi, Qirui Jin, Wenke Lee

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The Hidden Puppet Master: Predicting Human Belief Change in Manipulative LLM Dialogues Jocelyn J Shen, Amina Luvsanchultem, Jessica Kim, Kynnedy Simone Smith, Valdemar Danry, Kantwon Rogers, Hae Won Park, Maarten Sap, Cynthia Breazeal

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GLiGuard: Schema-Conditioned Classification for LLM Safeguard Urchade Zaratiana, Mary Newhauser, George Hurn-Maloney, Ash Lewis

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Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning Jikai Jin, Vasilis Syrgkanis, Sham Kakade, Hanlin Zhang

Conference

Filtered Reasoning Score: Evaluating Reasoning Quality on a Model's Most-Confident Traces Manas Pathak, Xingyao Chen, Shuozhe Li, Amy Zhang, Leqi Liu

Conference

Oolong: Evaluating Long Context Reasoning and Aggregation Capabilities Amanda Bertsch, Adithya Pratapa, Teruko Mitamura, Graham Neubig, Matthew R Gormley

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Se-DPO: Self-Evolving Token Credit for Direct Preference Optimization Wenxiao Zhao, Shu Wang, Ying Nian Wu

Conference

Why Do Safety Guardrails Degrade Across Languages? Max Zhang, Ameen Patel, Sang Truong, Sanmi Koyejo

Conference

The Cost of Language: Centroid Erasure Exposes and Exploits Modal Competition in Multimodal Language Models Akshay Paruchuri, Ishan Chatterjee, Henry Fuchs, Ehsan Adeli, Piotr Didyk

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Where Does the Relative Clause Attach? Probing Prosodic and Semantic Sensitivity in Large Audio Language Models Jingying Hu, Elsayed Issa

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When Large Language Models Know the Table: A Framework for Assessing Data Contamination in Tabular Datasets Matteo Silvestri, Fabiano Veglianti, Flavio Giorgi, Fabrizio Silvestri, Gabriele Tolomei

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How Can We Synthesize High-Quality Pretraining Data? A Systematic Study of Prompt Design, Generator Model, and Source Data Joel Niklaus, Atsuki Yamaguchi, Michal Štefánik, Guilherme Penedo, Hynek Kydlíček, Elie Bakouch, Lewis Tunstall, Edward E Beeching, Thibaud Frere, Colin Raffel, Leandro von Werra, Thomas Wolf

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Differentiable Faithfulness Alignment for Cross-Model Circuit Transfer Shun Shao, Binxu Wang, Shay B Cohen, Anna Korhonen, Yonatan Belinkov

Conference

Do We Need Frontier Models to Verify Mathematical Proofs? Aaditya Naik, Guruprerana Shabadi, Rajeev Alur, Mayur Naik

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SIMMER: Benchmarking Latent Failures in LLM Executable Planning with a World Model Xiaoxin Lu, Ranran Zhang, Rui Zhang

Conference

English is Not All You Need: Systematically Exploring the Role of Multilinguality in LLM Post-Training Mehak Dhaliwal, Shashwat Ranjan Chaurasia, Yao Qin, Dezhi Hong, Thomas Butler

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Defragmenting Language Models: An Interpretability-based Approach for Vocabulary Expansion Maitrey Mehta, Nishant Subramani, Zhichao Xu, Ashim Gupta, Vivek Srikumar

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When Pruning Meets Interpretability: Preserving Sparse Autoencoder Robustness in LLMs Suchit Gupte, Xueru Zhang, Mohammad Mahdi Khalili

Conference

CoreSemDB: Benchmarking Hybrid Semantic-Relational Query Processing over Text-Rich Databases Yuchen Tian, Jianxiong Guo, Hao Zhang, Jing Ma, Congli Gao

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Do LLMs Recognize Your Latent Preferences? A Benchmark for Latent Information Discovery in Personalized Interaction Ioannis Tsaknakis, Bingqing Song, Shuyu Gan, Jiangweizhi Peng, Dongyeop Kang, Alfredo Garcia, Gaowen Liu, Charles Fleming, Mingyi Hong

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Steering LLMs for Culturally Localized Generation Simran Khanuja, Hongbin Liu, Shujian Zhang, John Lambert, Mingqing Chen, Rajiv Mathews, Lun Wang

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Uncovering the computational ingredients that support human-like conceptual representations in large language models Zach Studdiford, Timothy T Rogers, Kushin Mukherjee, Siddharth Suresh

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Disentangling MLP Neuron Weights in Vocabulary Space Asaf Avrahamy, Yoav Gur-Arieh, Mor Geva

Conference

MuonQ: Enhancing Low-Bit Muon Quantization via Directional Fidelity Optimization Yupeng Su, Ruijie Zhang, Ziyue Liu, Yequan Zhao, Zheng Zhang

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Monocultural Biases: Correlated biases in large language models lead to unequal systemic exclusion rates in hiring Matthew Bone, Fabian Stephany, R. Maria del Rio-Chanona

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DR-LoRA: Dynamic Rank LoRA for Fine-Tuning Mixture-of-Experts Models Guanzhi Deng, Bo Li, Ronghao Chen, Xiujin Liu, Huacan Wang, Zhuo Han, Lijie Wen, Linqi Song

Conference

Prism-$\Delta$: Differential Subspace Steering for Prompt Highlighting in Large Language Models Yuyao Ge, Shenghua Liu, Yiwei Wang, Baolong Bi, Lingrui Mei, Jiayu Yao, Tianyu Liu, Jiafeng Guo, Xueqi Cheng

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Can Coding Agents Reproduce Findings in Computational Materials Science? Ziyang Huang, Yi Cao, Ali K Shargh, Jing Luo, Ruidong Mei, Mohd Zaki, Zhan Liu, Wyatt Bunstine, William Jurayj, Somdatta Goswami, Tyrel McQueen, Michael Shields, Jaafar El-Awady, Paulette Clancy, Benjamin Van Durme, Nicholas Andrews, William Walden, Daniel Khashabi

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How Humans and LLMs Read Gender into “Gender-Neutral” Physical Descriptions Yingjia Wan, Lin L Lin, Elisa Kreiss

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When Does Personality Composition Matter for Multi-Agent LLM Teams? Aryan Keluskar, Amrita (Amy) Bhattacharjee, Huan Liu

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StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems Yanwen Peng, Delvin Ce Zhang, Xi Wang, Nikolaos Aletras

Conference

Tiny Aya: Bridging Scale and Multilingual Depth Alejandro R Salamanca, Diana Abagyan, Daniel D'souza, Ammar Khairi, David Mora, Saurabh Dash, Viraat Aryabumi, Sara Rajaee, Mehrnaz Mofakhami, Ananya Sahu, Thomas Euyang, Brittawnya Prince, Madeline Smith, Hangyu Lin, Acyr Locatelli, Sara Hooker, Tom Kocmi, Aidan Gomez, Ivan Zhang, Phil Blunsom, Nicholas Frosst, Joelle Pineau, Beyza Ermis, Ahmet Üstün, Julia Kreutzer, Marzieh Fadaee

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Jagle: Building a Large-Scale Japanese Multimodal Post-Training Dataset for Vision–Language Models Issa Sugiura, Keito Sasagawa, Keisuke Nakao, Koki Maeda, Ziqi Yin, Zhishen Yang, Shuhei Kurita, Yusuke Oda, Ryoko Tokuhisa, Daisuke Kawahara, Naoaki Okazaki

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LF²AR: Accounting for Layerwise Dynamics to Improve Multimodal Adaptation of Language Models Santiago Cuervo, Adel Moumen, Yanis Labrak, Sameer Khurana, Antoine LAURENT, Mickael Rouvier, Phil Woodland, Ricard Marxer

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Rule vs. Consequence: Dissociable Internal Representations of Moral Reasoning in LLMs Eugenie Shi

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Comparing Developer and LLM Biases in Code Evaluation Ryan Shar, Aditya Mittal, Zichu Wu, Shyam Agarwal, Sherry Wu, Chris Donahue, Ameet Talwalkar, Wayne Chi, Valerie Chen

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Small Foundation Models of Human Cognition and Behaviour Nick Oh, Fernand Gobet

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FineInstructions: Scaling Synthetic Instructions to Pre-Training Scale Ajay Patel, Colin Raffel, Chris Callison-Burch

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Dual-Stream Decoding for Accelerated Large Language Models Dmitry Abulkhanov, Daniil Strizhakov, Maxim Panov

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What do your logits know? Masha Fedzechkina, Eleonora Gualdoni, Rita Ramos, Sinead Williamson

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BiomedSQL: Text-to-SQL for Scientific Reasoning on Biomedical Knowledge Bases Mathew J Koretsky, Maya Willey, Owen Bianchi, Chelsea X Alvarado, Tanay Nayak, Nicole Kuznetsov, Sungwon Kim, Michael Nalls, Daniel Khashabi, Faraz Faghri

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Semantic Richness or Geometric Reasoning? The Fragility of VLM's Visual Invariance Jason Qiu, Zachary Meurer, Xavier Thomas, Deepti Ghadiyaram

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Struc-EMB: The Potential of Structure-Aware Encoding in Language Embeddings Shikun Liu, Haoyu P Wang, Mufei Li, Pan Li

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From Geometry to Behavior: How Instruction Exposure Unlocks Latent Rhetorical Directions in LLMs Shengjie Xu

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Neuro-Symbolic Synergy for World Modeling Hongyu Zhao, Siyu Zhou, Haolin Yang, Zengyi Qin, Tianyi Zhou

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Rethinking Reasoning with MDLMs: Early Exits, Post-hoc Reasoning, and Beyond Zachary Horvitz, Raghav Singhal, Hao Zou, Carles Domingo-Enrich, Zhou Yu, Rajesh Ranganath, Kathleen McKeown

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Superficial Beliefs in LLM Decision-Making Gabriel Freedman, Francesca Toni

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Incentive-Aware Multi-Fidelity Optimization for Generative Advertising in Large Language Models Jiayuan Liu, Barry Wang, Jiarui Gan, Tonghan Wang, Leon Xie, Mingyu Guo, Vincent Conitzer

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OfficeQA Pro: An Enterprise Benchmark for End-to-End Grounded Reasoning Krista Opsahl-On g, Arnav Singhvi, Jasmine Collins, Josh Joseph, Ivan Zhou, Xinyi Wang, Ashutosh Baheti, Owen Oertell, Sam Havens, Jacob Portes, Michael Bendersky, Erich Elsen, Matei Zaharia

Conference

Useless but Safe? Benchmarking Utility Recovery with User Intent Clarification in Multi-Turn Conversations Mingqian Zheng, Malia Morgan, Liwei Jiang, Carolyn Rose, Maarten Sap

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Round-trip Reinforcement Learning: Self-Consistent Training for Better Chemical LLMs Lecheng Kong, Xiyuan Wang, Yixin Chen, Muhan Zhang

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LLMs Encode Their Failures: Predicting Success from Pre-Generation Activations William Gitta Lugoloobi, Thomas Foster, William Bankes, Chris Russell

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SWE-chat: Coding Agent Interactions From Real Users in the Wild Joachim Baumann, Vishakh Padmakumar, Kevin Li, John Yang, Diyi Yang, Sanmi Koyejo

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AERO: Autonomous Evolutionary Reasoning Optimization via Endogenous Dual-Loop Feedback Zhitao Gao, Jie Ma, Xuhong Li, Pengyu Li, Ning Qu, Yaqiang Wu, Hui Liu, Jun Liu

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CREBench: Evaluating Large Language Models in Cryptographic Binary Reverse Engineering Baicheng Chen, Yu Wang, Ziheng Zhou, Xiangru Liu, Juanru Li, Yilei Chen, Tianxing He

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InterviewSim: A Scalable Framework for Interview-Grounded Personality Simulation Yu Li, Pranav Narayanan Venkit, Yada Pruksachatkun, Chien-Sheng Wu

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Are Latent Reasoning Models Easily Interpretable? Connor Dilgren, Sarah Wiegreffe

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Decocted Experience Improves Test-Time Inference in LLM Agents Maohao Shen, Kaiwen Zha, Zexue He, Zhang-Wei Hong, Siru Ouyang, Jongha J Ryu, Prasanna Sattigeri, Suhas Diggavi, Gregory W Wornell

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The Illusion of Superposition? A Principled Analysis of Latent Thinking in Language Models Michael Rizvi-Martel, Guillaume Rabusseau, Marius Mosbach

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Overconfident and Blind to Details: Fixing Prompt Insensitivity with Abductive Preference Learning Yijin Ni, Simon Yu, Peng Qi

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When Fewer Layers Break More Chains: Layer Pruning Harms Test-Time Scaling in LLMs Keyu Wang, Tian Lyu, Guinan Su, Lu Yin, Marco Canini, Jonas Geiping, Shiwei Liu

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EvoSelect: Data-Efficient LLM Evolution for Targeted Task Adaptation Ting-Wei Li, Sirui Chen, Jiaru Zou, Yingbing Huang, Tianxin Wei, Jingrui He, Hanghang Tong

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Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT Wonhyuk Lee, Youngchol Kim, Yunjin Park, Junhyung Moon, Dongyoung Jeong, Wanjin Park

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CresOWLve: Benchmarking Creative Problem-Solving Over Real-World Knowledge Mete Ismayilzada, Renqing Cuomao, Daniil Yurshevich, Anna Sotnikova, Lonneke v Plas, Antoine Bosselut

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OSCAR : Orchestrated Self-verification and Cross-path Refinement Yash Shah, Abhijit Chakraborty, Naresh Kumar Devulapally, Vishnu S Lokhande, Vivek Gupta

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Understanding Primacy Effects in Large Language Models with Sparse Autoencoders Ikhyun Cho, Julia Hockenmaier

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Muon^p: Muon with Fractional Spectral Powers Yihe Dong, Will Sawin

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Lost in the Tower of Babel: The Adverse Effects of Incidental Multilingualism in LLMs Anjishnu Mukherjee, Chutong Meng, Antonios Anastasopoulos

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KronQ: LLM Quantization via Kronecker-Factored Hessian Donghyun Lee, Yuhang Li, Ruokai Yin, Priyadarshini Panda

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SideQuest: Model-Driven KV Cache Management for Long-Horizon Agentic Workloads Sanjay Kariyappa, G. Edward Suh

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From Rebound to Remedy: Understanding and Mitigating Reward Hacking via Representation Engineering Rui Wu, Ruixiang Tang

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ConformalGuard: False-Positive-Controlled Action Gating for LM Classifiers Bishnu Bista, Dhanraj Haibatrao Jadhav, Vibha Choudhary, Gaurav Saxena, Arun Pandiyan Perumal, Arjun Subedi, Jignesh Ammineni

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Locally Confident, Globally Stuck: The Quality-Exploration Dilemma in Diffusion Language Models Liancheng Fang, Aiwei Liu, Henry P Zou, Yankai Chen, Enze Ma, Leyi Pan, Chunyu Miao, Wei-Chieh Huang, Xue Liu, Philip S Yu

Conference

Growing Pains: Extensible and Efficient LLM Benchmarking Via Fixed Parameter Calibration Eliya Habba, Itay Itzhak, Asaf Yehudai, Yotam Perlitz, Elron Bandel, Michal Shmueli-Scheuer, Leshem Choshen, Gabriel Stanovsky

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Let’s Scale Step by Step: Compute-Efficient Hyperparameter Transfer for Large-Scale Mixture-of-Experts Nayeon Kim, Hojin Lee, Yunju Bak, Jaesun Park, Boseop Kim

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Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes Yuqian Fu, Haohuan Huang, Kaiwen Jiang, Jiacai Liu, Zhuo Jiang, Yuanheng Zhu, Dongbin Zhao

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Agent Bazaar: Enabling Economic Alignment in Multi-Agent Marketplaces Seth Karten, Cameron Crow, Chi Jin

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FERA: Uncertainty-Aware Federated Reasoning for Large Language Models Ruhan Wang, Chengkai Huang, Zhiyong Wang, Junda Wu, Rui Wang, Tong Yu, Julian McAuley, Lina Yao, Dongruo Zhou

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RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test Time Haozhe Wang, Cong Wei, Weiming Ren, Jiaming Liu, Fangzhen Lin, Wenhu Chen

Conference

Arbitration Failure, Not Perceptual Blindness: How Vision-Language Models Resolve Visual-Linguistic Conflicts Farhad Nooralahzadeh, Omid Rohanian, Yi Zhang, Jonathan Fürst, Kurt Stockinger

Conference

ContextBudget: Budget-Aware Context Management for Long-Horizon Search Agents Yong Wu, Yanzhao Zheng, Tianze Xu, Zhentao Zhang, Yuanqiang Yu, Jihuai Zhu, Chao Ma, Binbin Lin, Baohua Dong, Hangcheng Zhu, Ruohui Huang, Gang Yu

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How Much Backtracking is Enough? Exploring the Interplay of SFT and RL in Enhancing LLM Reasoning Hongyi Cai, Junlin Wang, Xiaoyin Chen, Bhuwan Dhingra

Conference

A Statistical Framework for Auditing Behavioral Dependence and Induced Bias in LLM Judges Chenchen Kuai, Jiwan Jiang, Zihao Zhu, Hao Wang, Keshu Wu, Zihao Li, Yunlong Zhang, Chenxi Liu, Zhengzhong Tu, Zhiwen Fan, Yang Zhou

Conference

ComDoc: A Comprehensive Benchmark for Document Retrieval-Augmented Generation Jun Wang, Tiancheng Gu, Yifan Zhang, Hengyu Shen, Xiaoxing Hu, Weidong Cai, Ziyong Feng, Xiang An, Kaicheng Yang

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Lost in Distraction: LLM Planning Agents Recognize but Fail to Utilize Relevant Information under Context Noise Weijie LIANG, Yuanfeng SONG, Xing Chen, Caleb C Cao, Sirui Han, Yike Guo

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Reasoning Dynamics and the Limits of Monitoring Modality Reliance in Vision-Language Models Danae Sanchez Villegas, Samuel Lewis-Lim, Nikolaos Aletras, Desmond Elliott

Conference

Agentic Aggregation for Parallel Scaling of Long-Horizon Agentic Tasks Yoonsang Lee, Howard Yen, Xi Ye, Danqi Chen

Conference

Differences in Text Generated by Diffusion and Autoregressive Language Models Zeyang Zhang, Chengwei Liang, Xingyan Chen, Meiqi Gu, Minrui Luo, Jingzhao Zhang, Tianxing He

Conference

RAQE: Reranker-Aligned Query Expansion via Label-Free Group-Relative Policy Optimization Gyeonghun Sun, Jeonghwan Choi, Sundong Kim, Hwanjun Song

Conference

MoANT: Mixture-of-Rank-One-Experts with Semantic-aware Intuition for Multi-task Large Language Model Finetuning Rongyu Zhang, Yijiang Liu, Huanrui Yang, Shenli Zheng, Li Du, Dan Wang, Yuan Du, Shanghang Zhang

Conference

Reinforce-Ada: An Adaptive Sampling Framework under Non-linear RL Objectives Wei Xiong, Chenlu Ye, Baohao Liao, Hanze Dong, Xinxing Xu, Christof Monz, Jiang Bian, Nan Jiang, Tong Zhang

Conference

MidTool: Mid-training Data Synthesis for Agentic Tool Use Fengqing Jiang, Yite Wang, Boyi Liu, Zhaoyang Wang, Canwen Xu, Zhewei Yao, Radha Poovendran, Yuxiong He

Conference

Multimodal Latent Reasoning via Predictive Embeddings Ashutosh Adhikari, Mirella Lapata

Conference

KARL: Mitigating Hallucinations in LLMs via Knowledge-Boundary-Aware Reinforcement Learning Cheng Gao, Cheng Huang, Kangyang Luo, Ziqing Qiao, Shuzheng Si, Huimin Chen, Chaojun Xiao, Maosong Sun

Conference

Why Your Prompt Compressor Is Deleting the Wrong Tokens: An Information-Theoretic Diagnosis Jinheng Wu, Di Zhang

Conference

TEMPURA: Temporal Event Masked Prediction and Understanding for Reasoning in Action Jen-Hao Cheng, Yi-Hao Peng, Huapeng Zhou, Vivian Wang, Huayu Wang, Hsiang-Wei Huang, Wenhao Chai, Hou-I Liu, Kuang-Ming Chen, Cheng-Yen Yang, Yi-Ling Chen, Vibhav Vineet, Qin Cai, Jenq-Neng Hwang

Conference

Multilingual Prompt Localization for Agent-as-a-Judge: Language and Backbone Sensitivity in Requirement-Level Evaluation Alhasan S Mahmood, Samir Abdaljalil, HASAN KURBAN

Conference

FronTalk: Benchmarking Front-End Development as Conversational Code Generation with Multi-Modal Feedback Xueqing Wu, Zihan Xue, Da Yin, Shuyan Zhou, Kai-Wei Chang, Nanyun (Violet) Peng, Yeming Wen

Conference

ContextLeak: Auditing Leakage in Private In-Context Learning Methods Jacob Choi, Shuying Cao, Zoey Hao, Amin Banayeeanzade, Wang Bill Zhu, Robin Jia, Sai Praneeth Karimireddy

Conference

HAI-Agent: Improving Long Horizon Software Engineering with Handoff Interventions Junhao Wang, Evander Yang, Zenan Xu, Taiqiang Wu, Feiyuan Zhang, Michael R Lyu

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Evaluating steering techniques using human similarity judgments Zach Studdiford, Timothy T Rogers, Siddharth Suresh, Kushin Mukherjee

Conference

DataSTORM: Deep Research on Large-Scale Databases using Exploratory Data Analysis and Data Storytelling Shicheng Liu, Yucheng Jiang, Sajid Farook, Camila Nicollier Sanchez, David F Pena, Monica Lam

Conference

Why Fine-Tuning Encourages Hallucinations and How to Fix It Guy Kaplan, Zorik Gekhman, Zhen Zhu, Yuval Reif, Lotem Rozner, Swabha Swayamdipta, Derek Hoiem, Roy Schwartz

Conference

How Well Do Agentic Skills Work in the Wild: Benchmarking LLM Skill Usage in Realistic Settings Yujian Liu, Jiabao Ji, Li An, Tommi Jaakkola, Yang Zhang, Shiyu Chang

Conference

BidirLM: From Text to Omnimodal Bidirectional Encoders by Adapting and Composing Causal LLMs Nicolas Boizard, Théo Deschamps-Berger, Hippolyte Gisserot-Boukhlef, CELINE HUDELOT, Pierre Colombo

Conference

Is CLIP Cross-Eyed? Revealing and Mitigating Center Bias in the CLIP Family Oscar Chew, Hsiao-Ying Huang, Kunal Jain, Tai-I Chen, Khoa D Doan, Kuan-Hao Huang

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SkillFoundry: Building Self-Evolving Agent Skill Libraries from Heterogeneous Scientific Resources Shuaike Shen, Wenduo Cheng, Mingqian Ma, Alistair Turcan, Martin J Zhang, Jian Ma

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FOCUS: Closed-Loop Attention Feedback for Efficient Vision-Language Understanding Akul Santhosh, Aastha Jhunjhunwala

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LLMs Corrupt Your Documents When You Delegate Philippe Laban, Tobias Schnabel, Jennifer Neville

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Improving GUI Grounding with Explicit Position-to-Coordinate Mapping Suyuchen Wang, TIANYU ZHANG, Ahmed Masry, Christopher Pal, Spandana Gella, Bang Liu, Perouz Taslakian

Conference

Co-Evolving Structured Knowledge and Reasoning in Language Models Ryan T Noonan, Linxi Zhao, Menghan Xu, Akanksha Sarkar, Mihir Mishra, Dongyoung Go, Kilian Weinberger, Yoav Artzi, Jennifer J. Sun

Conference

Mind the Sim2Real Gap in User Simulation for Agentic Tasks Xuhui Zhou, Weiwei Sun, Qianou Ma, Yiqing Xie, Jiarui Liu, Weihua Du, Sean Welleck, Yiming Yang, Graham Neubig, Sherry Wu, Maarten Sap

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How Conversational Pressure Alters Belief in Large Language Models: A Hidden State Boundary Perspective Zihao Huang, Rui Mao, Pengjun Xie, Anupam Chattopadhyay, Erik Cambria

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Break Me If You Can: Self-Jailbreaking of Aligned LLMs via Lexical Insertion Prompting Devang Kulshreshtha, Hang Su, Haibo Jin, Chinmay Hegde, Haohan Wang

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On Epistemic Diversity in Large Language Models Elisabeth Kirsten, Nicole C Krämer, Muhammad Bilal Zafar

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What Language Models Know But Don't Say: Non-Generative Prior Extraction for Generalization Sara Rezaeimanesh, Mohammad M Ghassemi, Kundan S Thind, Farzan Siddiqui

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SNEAK: Evaluating Strategic Communication and Information Leakage in Large Language Models Adar Avsian, Larry Heck

Conference

Learning to Interrupt in Language-based Multi-agent Communication Danqing Wang, Da Yin, Ruta Desai, Lei Li, Asli Celikyilmaz, Ansong Ni

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Knowing Before Answering: Decoding Language Models for Reliable RAG Syed Mahbubul Huq, Christopher Child, Tillman Weyde, Pranava Madhyastha

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Joint Optimization of Reasoning and Dual-Memory for Self-Learning Diagnostic Agent Bingxuan Li, Simo Du, Yue Guo

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A11yn: Aligning LLMs for Web Accessibility-Aware UI Generation Janghan Yoon, Jaegwan Cho, Junhyeok Kim, Jiwan Chung, Jaehyun Jeon, Seungwon Lim, Youngjae Yu

Conference

EvoX: Meta-Evolution for Automated Discovery Shu Liu, Shubham Agarwal, Monish Maheswaran, Mert Cemri, Qiuyang Mang, Zhifei Li, Ashwin Naren, Ethan Boneh, Audrey Cheng, Alexander Du, Melissa Pan, Kurt Keutzer, Alvin Cheung, Koushik Sen, Alex Dimakis, Matei Zaharia, Ion Stoica

Conference

Inference Scaling of LLM Ensembling: Bridging Token Spaces with Token Translation Tianxin Wei, Zhichen Zeng, Ruizhong Qiu, Zhining Liu, Xuying Ning, Xinrui He, Wenxuan Bao, Xiao Lin, Qi He, Xianfeng Tang, Hanghang Tong, Jingrui He

Conference

From RLVR to RLSVR: Task Transformation Induces Self-Verifiable Rewards for Open-Ended LLM Self-Improvement Qinsi Wang, Jing Shi, Huazheng Wang, Kun Wan, Yiran Wu, Bo Liu, Qingyun Wu, Hai H Li, Yiran Chen, Handong Zhao, Wentian Zhao

Conference

Reasoning with Image Generation Nishad Singhi, Hector Garcia Rodriguez, Aditya Arora, Marcus Rohrbach, Anna Rohrbach

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We Hebben Een Serieus Translatie: Modeling Intercomprehension as Probabilistic Inference Thomas H Clark, Roger P Levy, Edward Gibson

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Quantization-Robust Unlearning through the Lens of Retain-Forget Loss Landscapes Interaction Jialu Wang, Jianing Deng, Shuqing Luo, Yuanzhe Li, Dongwei Wang, Jingtong Hu, Huanrui Yang, Song Wang, Tianlong Chen

Conference

Meta-Harness: End-to-End Optimization of Model Harnesses Yoonho Lee, Roshen S Nair, Qizheng Zhang, Kangwook Lee, Omar Khattab, Chelsea Finn

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WildTableBench: Benchmarking Multimodal Foundation Models on Table Understanding In the Wild Junzhe Huang, Xiaoxiao Sun, Yan Yang, Yuxuan Hou, Ruotian Zhang, Sirui Li, Hehe Fan, Serena Yeung-Levy, Xin Yu

Conference

Combee: Scaling Parallel Prompt Learning for Self-Improving LLM Agents Hanchen Li, Runyuan He, Qizheng Zhang, Changxiu Ji, Qiuyang Mang, Xiaokun Chen, Lakshya A Agrawal, Wei-Liang Liao, Eric Yang, Alvin Cheung, James Zou, Kunle Olukotun, Ion Stoica, Joseph E Gonzalez

Conference

Reinforcement Routing for Mixtures of LoRAs in Parameter-Efficient LLM Finetuning Ruizhong Qiu, Hanqing Zeng, Yinglong Xia, Yiwen Meng, Ren Chen, Jiarui Feng, Dongqi Fu, Qifan Wang, Jiayi Liu, Jun Xiao, Xiangjun Fan, Benyu Zhang, Hong Li, Zhining Liu, Hyunsik Yoo, Zhichen Zeng, Tianxin Wei, Hanghang Tong

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InjecMEM: Memory Injection Attack on LLM Agent Memory Systems Hanling Tian, Gengyu Zhang, Zeyang Sha, Jingying Wang, Yuhang Liu, Zhehao Huang, Kun Yang, Xiaolin Huang

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The Generalization Ridge: Information Flow in Natural Language Generation Ruidi Chang, Chunyuan Deng, Hanjie Chen

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The Garden of Forking Prompts: How Users Explore Narrative Space in Story Generation Advait Deshmukh, Nora Benedict, Melanie Walsh, Maria Antoniak

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RetroAgent: Harnessing LLMs to Search Over Structured Memory for Agentic Retrosynthesis Planning Yanqiao Zhu, Jingru Gan, Xiaoqi Sun, Fang Sun, Yidan Shi, Md Mofijul Islam, Chao Shang, Wenhao Gao, Connor W Coley, Yizhou Sun, Wei Wang

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SCOPE: A Generative Approach for LLM Prompt Compression Tinghui Zhang, Yifan Wang, Daisy Z Wang

Conference

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