COLM 2026 Accepted Papers

All accepted papers are hosted on OpenReview.

🏆 Outstanding Paper Award Message Passing Enables Efficient Reasoning
Xuecheng Liu, Daman Arora, Gokul Swamy, Andrea Zanette

🏆 Outstanding Paper Award 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

🏆 Outstanding Paper Award 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

🔦 Spotlight 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

🔦 Spotlight Reasoning about Intent for Ambiguous Requests
Irina Saparina, Mirella Lapata

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

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

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

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

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

🔦 Spotlight 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

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

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

🔦 Spotlight 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

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

🔦 Spotlight 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

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

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

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

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

🔦 Spotlight 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

🔦 Spotlight 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

🔦 Spotlight 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

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

$\pi^2$: 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

$\textit{Hidden in the Haystack:}$ 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

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

$V_{0.5}$: 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

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

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

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

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

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

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

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

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

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

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

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

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

A11yn: Aligning LLMs for Web Accessibility-Aware UI Generation
Janghan Yoon, Jaegwan Cho, Junhyeok Kim, Jiwan Chung, Jaehyun Jeon, Seungwon Lim, Youngjae Yu

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Agentic Aggregation for Parallel Scaling of Long-Horizon Agentic Tasks
Yoonsang Lee, Howard Yen, Xi Ye, Danqi Chen

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Break Me If You Can: Self-Jailbreaking of Aligned LLMs via Lexical Insertion Prompting
Devang Kulshreshtha, Hang Su, Haibo Jin, Chinmay Hegde, Haohan Wang

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Differences in Text Generated by Diffusion and Autoregressive Language Models
Zeyang Zhang, Chengwei Liang, Xingyan Chen, Meiqi Gu, Minrui Luo, Jingzhao Zhang, Tianxing He

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Evaluating steering techniques using human similarity judgments
Zach Studdiford, Timothy T Rogers, Siddharth Suresh, Kushin Mukherjee

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Faster Superword Tokenization
Craig Schmidt, Yuval Pinter, Chris Tanner

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

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

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

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

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

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

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

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

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

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

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

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

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

FOCUS: Closed-Loop Attention Feedback for Efficient Vision-Language Understanding
Akul Santhosh, Aastha Jhunjhunwala

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

HAI-Agent: Improving Long Horizon Software Engineering with Handoff Interventions
Junhao Wang, Evander Yang, Zenan Xu, Taiqiang Wu, Feiyuan Zhang, Michael R Lyu

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

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

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

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

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

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

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

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

How Conversational Pressure Alters Belief in Large Language Models: A Hidden State Boundary Perspective
Zihao Huang, Rui Mao, Pengjun Xie, Anupam Chattopadhyay, Erik Cambria

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Improving GUI Grounding with Explicit Position-to-Coordinate Mapping
Suyuchen Wang, TIANYU ZHANG, Ahmed Masry, Christopher Pal, Spandana Gella, Bang Liu, Perouz Taslakian

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Joint Optimization of Reasoning and Dual-Memory for Self-Learning Diagnostic Agent
Bingxuan Li, Simo Du, Yue Guo

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

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

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

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

Knowing Before Answering: Decoding Language Models for Reliable RAG
Syed Mahbubul Huq, Christopher Child, Tillman Weyde, Pranava Madhyastha

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Learning to Interrupt in Language-based Multi-agent Communication
Danqing Wang, Da Yin, Ruta Desai, Lei Li, Asli Celikyilmaz, Ansong Ni

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

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

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

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

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

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

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

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

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

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

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

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

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

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

LLMs Corrupt Your Documents When You Delegate
Philippe Laban, Tobias Schnabel, Jennifer Neville

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Making Grid Beam Search Less Greedy
Sean Papay, Roman Klinger

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Meta-Harness: End-to-End Optimization of Model Harnesses
Yoonho Lee, Roshen S Nair, Qizheng Zhang, Kangwook Lee, Omar Khattab, Chelsea Finn

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Multilingual Prompt Localization for Agent-as-a-Judge: Language and Backbone Sensitivity in Requirement-Level Evaluation
Alhasan S Mahmood, Samir Abdaljalil, HASAN KURBAN

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

Multimodal Latent Reasoning via Predictive Embeddings
Ashutosh Adhikari, Mirella Lapata

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

On Epistemic Diversity in Large Language Models
Elisabeth Kirsten, Nicole C Krämer, Muhammad Bilal Zafar

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

RAQE: Reranker-Aligned Query Expansion via Label-Free Group-Relative Policy Optimization
Gyeonghun Sun, Jeonghwan Choi, Sundong Kim, Hwanjun Song

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

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

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

Reasoning Dynamics and the Limits of Monitoring Modality Reliance in Vision-Language Models
Danae Sanchez Villegas, Samuel Lewis-Lim, Nikolaos Aletras, Desmond Elliott

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

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

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

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

Reasoning with Image Generation
Nishad Singhi, Hector Garcia Rodriguez, Aditya Arora, Marcus Rohrbach, Anna Rohrbach

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

SCOPE: A Generative Approach for LLM Prompt Compression
Tinghui Zhang, Yifan Wang, Daisy Z Wang

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

SkillFoundry: Building Self-Evolving Agent Skill Libraries from Heterogeneous Scientific Resources
Shuaike Shen, Wenduo Cheng, Mingqian Ma, Alistair Turcan, Martin J Zhang, Jian Ma

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

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

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

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

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

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

SNEAK: Evaluating Strategic Communication and Information Leakage in Large Language Models
Adar Avsian, Larry Heck

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

The Garden of Forking Prompts: How Users Explore Narrative Space in Story Generation
Advait Deshmukh, Nora Benedict, Melanie Walsh, Maria Antoniak

The Generalization Ridge: Information Flow in Natural Language Generation
Ruidi Chang, Chunyuan Deng, Hanjie Chen

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

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

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

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

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

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

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

The Shrinking Lifespan of LLMs in Science
Ana Trišović

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

TokEval: A Tokenizer Analysis Suite
Clara Meister

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

We Hebben Een Serieus Translatie: Modeling Intercomprehension as Probabilistic Inference
Thomas H Clark, Roger P Levy, Edward Gibson

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

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

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

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

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

What Language Models Know But Don't Say: Non-Generative Prior Extraction for Generalization
Sara Rezaeimanesh, Mohammad M Ghassemi, Kundan S Thind, Farzan Siddiqui

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Why Your Prompt Compressor Is Deleting the Wrong Tokens: An Information-Theoretic Diagnosis
Jinheng Wu, Di Zhang

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

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

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

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

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

“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