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Time zone: Conference local time zone
Full Schedule Tue 10/6 Wed 10/7 Thu 10/8 Fri 10/9
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8:00 AM - 5:30 PM
Invited Talk

Research at AI Speed

John Langford
9:00 AM - 10:00 AM

We as a field are experience the industrialization of innovation generating structural changes to the process and outcomes of research and development. Where we are we in this process? How do you navigate the process? What are the failure modes and what does success look like? How can we organize effectively to work with a process of industrial innovation?

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Speaker Bio
John Langford
John Langford is a Partner Research Manager at Microsoft Research. He studied Physics and Computer Science at the California Institute of Technology, earning a double bachelor’s degree in 1997, and received his Ph.D. from Carnegie Mellon University in 2002. Since then, he has worked at Yahoo!, Toyota Technological Institute, and IBM‘s Watson Research Center. He is also the primary author of the popular Machine Learning weblog, hunch.net and the principle developer of Vowpal Wabbit. Previous research projects include Isomap, Captcha, Learning Reductions, Cover Trees, and Contextual Bandit learning.
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Oral
10:00 AM - 11:00 AM
4 Events in this session
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
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
BugScope: Learn to Detect Bugs Like Human
Jinyao Guo ⋅ Chengpeng Wang ⋅ Dominic DeLuca ⋅ Jinjie Liu ⋅ Zhuo Zhang ⋅ Xiangyu Zhang
Do Humans and LLMs Diverge in Belief Revision? Evidence from a Bayesian Analysis
Stylianos Loukas Vasileiou ⋅ Antonio Rago ⋅ Maria Vanina Martinez ⋅ William Yeoh
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Poster
11:00 AM - 1:00 PM

Imperial Ballroom (#1-73), Franciscan A (#74-80), Franciscan B (#81-90), Franciscan C (#91-100), Grand Ballroom (#101-145)

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140 Events in this session
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
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
Hallucination Self-Play: Bootstrapping Reinforced Detector via Evolved Generator
Shiping Yang ⋅ Shining Liang ⋅ Weihao Liu ⋅ Wenbiao Ding ⋅ Linjun Shou ⋅ Lu Cheng ⋅ Angel X Chang
Automatic Generation of High-Performance RL Environments
Seth Karten ⋅ Rahul Dev Appapogu ⋅ Chi Jin
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
CivBench: Progress-Based Evaluation for LLMs' Strategic Decision-Making in Civilization V
John Chen ⋅ Sihan Cheng ⋅ Can Gurkan ⋅ Mingyi Lin
VehicleMemBench: An Executable Benchmark for Multi-User Long-Term Memory in In-Vehicle Agents
Yuhao Chen ⋅ Yi Xu ⋅ Xinyun Ding ⋅ Xiang Fang ⋅ Shuochen Liu ⋅ Luxi Lin ⋅ Qingyu Zhang ⋅ Ya Li ⋅ Quan Liu ⋅ Tong Xu
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
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
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
ReflCtrl: Controlling LLM Reflection Efficiently via Representation Engineering
Ge Yan ⋅ Chung-En Sun ⋅ Linbo Liu ⋅ Tsui-Wei (Lily) Weng
RankGuide: Tensor-Rank-Guided Routing and Steering for Efficient Reasoning
Jiayi Tian ⋅ Yupeng Su ⋅ Ryan Solgi ⋅ Souvik Kundu ⋅ Zheng Zhang
Beyond Logit Adjustment: A Residual Decomposition Framework for Long-Tailed Reranking
Zhanliang Wang ⋅ Hongzhuo Chen ⋅ Quan M Nguyen ⋅ Mian U Ahsan ⋅ Kai Wang
Uncertainty-Aware Variational Reward Factorization via Probabilistic Preference Bases for LLM Personalization
Gyuseok Lee ⋅ Wonbin Kweon ⋅ Zhenrui Yue ⋅ SeongKu Kang ⋅ Jiawei Han ⋅ Dong Wang
CIDER: A Dataset of Contextual Disclosure Boundaries for Privacy Preference Alignment
Bingcan Guo ⋅ Eryue Xu ⋅ Jijie Zhou ⋅ Zhiping Zhang ⋅ Tianshi Li
One Word at a Time: Incremental Completion Decomposition Breaks LLM Safety
Samee Arif ⋅ Naihao Deng ⋅ Zhijing Jin ⋅ Rada Mihalcea
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
SNEAK: Evaluating Strategic Communication and Information Leakage in Large Language Models
Adar Avsian ⋅ Larry Heck
StateBridge: Training-free Hidden-state Alignment for Latent Communication in LLM Multi-Agent Systems
Yanwen Peng ⋅ Delvin Ce Zhang ⋅ Xi Wang ⋅ Nikolaos Aletras
Learning to Interrupt in Language-based Multi-agent Communication
Danqing Wang ⋅ Da Yin ⋅ Ruta Desai ⋅ Lei Li ⋅ Asli Celikyilmaz ⋅ Ansong Ni
When Contextual Inference Fails: Cancelability in Interactive Instruction Following
Natalia Bila ⋅ Kata Naszadi ⋅ Alexandra Mayn ⋅ Christof Monz
Commitment To Cooperation With Self-Negotiated Contracts
Tim Wyse ⋅ Kaitlin Bustos ⋅ Yulia Volkova ⋅ Max Kleiman-Weiner
Benchmarking the Robustness of Agentic Systems to Adversarially-Induced Harmful Behaviors
Jonathan Nöther ⋅ Adish Singla ⋅ Goran Radanovic
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
Why Do Safety Guardrails Degrade Across Languages?
Max Zhang ⋅ Ameen Patel ⋅ Sang Truong ⋅ Sanmi Koyejo
Minimal, Local, Causal Explanations of Jailbreak Success in Large Language Models
Shubham Kumar ⋅ Narendra Ahuja
Safety Cost of Steering Vectors Is Separable and Reducible
Yuxiao Li ⋅ Gjergji Kasneci
RefusalGuard: Geometry-Preserving Fine-Tuning for Safety in LLMs
Sadia Asif ⋅ Mohammad Mohammadi Amiri
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
FPEdit: Robust LLM Fingerprinting through Localized Parameter Editing
Shida Wang ⋅ Chaohu Liu ⋅ Yubo Wang ⋅ Linli Xu
Distill to Detect: Exposing Stealth Biases in LLMs through Cartridge Distillation
Shayan Talaei ⋅ Abhinav Chinta ⋅ Fnu Devvrit ⋅ Amin Karbasi ⋅ Azalia Mirhoseini ⋅ Amin Saberi
It Takes One to Bias Them All: Breaking Bad with One-Shot GRPO
Naihao Deng ⋅ Yilun Zhu ⋅ Naichen Shi ⋅ Clayton Scott ⋅ Rada Mihalcea
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
Beyond Semantics: Rediscovering Spatial Awareness in Vision-Language Models
Jianing Qi ⋅ Jiawei Liu ⋅ Hao Tang ⋅ Zhigang Zhu
What does RL improve for Visual Reasoning? A Frankenstein-Style Analysis
Xirui Li ⋅ Ming Li ⋅ Tianyi Zhou
Apriel-Reasoner: RL Post-Training for General-Purpose and Efficient Reasoning
Rafael Pardinas ⋅ Ehsan Kamalloo ⋅ David Vazquez ⋅ Alexandre Drouin
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
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
Loop, Think, & Generalize: Implicit Reasoning in Recurrent-Depth Transformers
Harsh Kohli ⋅ Srinivasan Parthasarathy ⋅ Huan Sun ⋅ Yuekun Yao
How Transformers Learn to Plan via Multi-Token Prediction
Jianhao Huang ⋅ Zhanpeng Zhou ⋅ Renqiu Xia ⋅ Baharan Mirzasoleiman ⋅ Weijie Su ⋅ Wei Huang
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
Procedural Knowledge at Scale Improves Reasoning
Di Wu ⋅ Devendra Singh Sachan ⋅ Scott Yih ⋅ Mingda Chen
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
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
MathDuels: A Self-Play Benchmark That Grows
Oscar Xu ⋅ Shibo Jin ⋅ Shreya Arya ⋅ Mayur Naik
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
Meta-Harness: End-to-End Optimization of Model Harnesses
Yoonho Lee ⋅ Roshen S Nair ⋅ Qizheng Zhang ⋅ Kangwook Lee ⋅ Omar Khattab ⋅ Chelsea Finn
Reward Hacking in Language Model Agents: Revisiting AI Safety Gridworlds
Ömer Çağatan ⋅ Xuandong Zhao
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
A Rubric-Supervised Critic from Sparse Real-World Outcomes
Xingyao Wang ⋅ Valerie Chen ⋅ Heng Ji ⋅ Graham Neubig
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
Rethinking Reward Supervision: Rubric-Conditioned Self-Distillation
Siyi Gu ⋅ Jialin Chen ⋅ Sophia Zhou ⋅ Arman Cohan ⋅ Rex Ying
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
Headroom-Drift Replay: A Primitive for Principled Replay Control in GRPO
HYUN BIN PARK ⋅ Du-Seong Chang
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
OpenVLThinkerV2: A Generalist Multimodal Reasoning Model for Multi-domain Visual Tasks
Wenbo Hu ⋅ Xin Chen ⋅ Yan Gao-Tian ⋅ Nanyun (Violet) Peng ⋅ Kai-Wei Chang
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
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
FOCUS: Closed-Loop Attention Feedback for Efficient Vision-Language Understanding
Akul Santhosh ⋅ Aastha Jhunjhunwala
Batch-wise Adaptive Pruning: Periodic Neuron Activation-Aware Weight Pruning for Language Reasoning Model
Yongmin Kim ⋅ Shota Takashiro ⋅ Yusuke Iwasawa ⋅ Takeshi Kojima ⋅ Yutaka Matsuo
Multi-Granular Node Pruning for Causal Circuit Discovery
Muhammad U Haider ⋅ Hammad Rizwan ⋅ Hassan Sajjad ⋅ A.B. Siddique
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
Lang-Prune: Unlocking Fair and Powerful Pruning for Multilingual Large Language Models
Juhao Liang ⋅ Shiqi Zhang ⋅ Min Zhang ⋅ Hao Yang ⋅ Benyou Wang
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
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
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
Tool-Creating LLM Agents Gain Little from Keeping Their Tools
Marek Šuppa ⋅ Jaroslav Kopcan
Do Humans and LLMs Diverge in Belief Revision? Evidence from a Bayesian Analysis
Stylianos Loukas Vasileiou ⋅ Antonio Rago ⋅ Maria Vanina Martinez ⋅ William Yeoh
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
Logarithmic Scores, Power-Law Discoveries: Disentangling Measurement from Coverage in Agent-Based Evaluation
HyunJoon Jung ⋅ William Na
The State and Fate of Multilingual, Contextual Evaluation in the NLP World
Manan Uppadhyay ⋅ Himanshu Beniwal ⋅ Prashant Kodali ⋅ Sunayana Sitaram
AnchorBench: A Multi-Pathway Benchmark for the Anchoring Effect in LLMs
Yiderigun Borjigin ⋅ Alexander Hermann ⋅ Christian J Cyron ⋅ Roland Aydin
TEMPER: Testing Emotional Perturbation in Quantitative Reasoning
Atahan Dokme ⋅ Benjamin Reichman ⋅ Larry Heck
Benchmarking of Automated Assessment of K-5 Student Narratives Using Large Language Models
Saman Enayati ⋅ Elmira Talebianaraki ⋅ Ziyu Yang ⋅ Slobodan Vucetic ⋅ Trina D Spencer
Qworld: Question-Specific Evaluation Criteria for LLMs
Yuchang Su ⋅ Shanghua Gao ⋅ Pengwei Sui ⋅ Curtis R Ginder ⋅ Marinka Zitnik
No Free Labels: Limitations of LLM-as-a-Judge Without Human Grounding
Michael Krumdick ⋅ Charles Lovering ⋅ Varshini Reddy ⋅ Seth Ebner ⋅ Chris Tanner
Who Checks the Citations? Benchmarking Legal Hallucination Detection
Patty Liu ⋅ Dominik Stammbach ⋅ Peter Henderson
BibTeX Citation Errors in Scientific Publishing Agents: Evaluation and Mitigation
Delip Rao ⋅ Chris Callison-Burch
Do Evaluation Metrics Detect Errors in Classical Chinese to English Translations?
Osvaldo Quinjica ⋅ Eric Bennett ⋅ Xinchen Yang ⋅ Andrew Schonebaum ⋅ Marine Carpuat
Joint Optimization of Reasoning and Dual-Memory for Self-Learning Diagnostic Agent
Bingxuan Li ⋅ Simo Du ⋅ Yue Guo
TokEval: A Tokenizer Analysis Suite
Clara Meister
Defragmenting Language Models: An Interpretability-based Approach for Vocabulary Expansion
Maitrey Mehta ⋅ Nishant Subramani ⋅ Zhichao Xu ⋅ Ashim Gupta ⋅ Vivek Srikumar
Convergent Evolution: How Different Language Models Learn Similar Number Representations
Deqing Fu ⋅ Tianyi Zhou ⋅ Mikhail Belkin ⋅ Vatsal Sharan ⋅ Robin Jia
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
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
Understanding Primacy Effects in Large Language Models with Sparse Autoencoders
Ikhyun Cho ⋅ Julia Hockenmaier
Differences in Text Generated by Diffusion and Autoregressive Language Models
Zeyang Zhang ⋅ Chengwei Liang ⋅ Xingyan Chen ⋅ Meiqi Gu ⋅ Minrui Luo ⋅ Jingzhao Zhang ⋅ Tianxing He
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
Cross-Model Disagreement as a Label-Free Correctness Signal
Matt Gorbett ⋅ Suman Jana
Entropy Centroids as Intrinsic Rewards for Test-Time Scaling
Wenshuo Zhao ⋅ Qi Zhu ⋅ Xingshan Zeng ⋅ Fei Mi ⋅ Lifeng Shang ⋅ Yiren Feng
PolicyBank: Evolving Policy Understanding for LLM Agents
Jihye Choi ⋅ Jinsung Yoon ⋅ Long T. Le ⋅ Somesh Jha ⋅ Tomas Pfister
Process Supervision of Confidence Margin for Calibrated LLM Reasoning
Liaoyaqi Wang ⋅ Chunsheng Zuo ⋅ William Jurayj ⋅ Benjamin Van Durme ⋅ Anqi Liu
Boosting Process-Correct CoT Reasoning by Modeling Solvability of Multiple-Choice QA
Raphael Schumann ⋅ Stefan Riezler
Reasoning Dynamics and the Limits of Monitoring Modality Reliance in Vision-Language Models
Danae Sanchez Villegas ⋅ Samuel Lewis-Lim ⋅ Nikolaos Aletras ⋅ Desmond Elliott
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
Legibility is Not Interpretability: Comparing Judged and Actual Importance in Chain-Of-Thought Reasoning
Kevin Du ⋅ Alexander M Hoyle ⋅ Laura Ruis ⋅ Acyr Locatelli
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
Beyond Trajectory Imitation: Strategy-Guided Policy Optimization for LLM Reasoning
tianyuan shi ⋅ Canbin Huang ⋅ Bei Li ⋅ Xin Chen ⋅ Xiaojun Quan ⋅ Jingang Wang ⋅ Qifan Wang
Evolving Programmatic Skill Networks
Haochen Shi ⋅ Xingdi Yuan ⋅ Bang Liu
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
REVERE: Reflective Evolving Research Engineer
Balaji Dinesh Gangireddi ⋅ Aniketh Garikaparthi ⋅ Manasi Patwardhan ⋅ Arman Cohan
Learning Steerable Clarification Policies with Collaborative Self-play
Jonathan Berant ⋅ Maximillian Chen ⋅ Adam Fisch ⋅ Reza Aghajani ⋅ Fantine Huot ⋅ Mirella Lapata ⋅ Jacob Eisenstein
$p1$: Better Prompt Optimization with Fewer Prompts
Zhaolin Gao ⋅ Sid Wang ⋅ Bo Liu ⋅ Thorsten Joachims ⋅ Kianté Brantley ⋅ Wen Sun
Compared to What? Baselines and Metrics for Counterfactual Prompting
Zihao Yang ⋅ Mosh Levy ⋅ Yoav Goldberg ⋅ Byron Wallace
It’s How You Ask: Gender-Associated Linguistic Bias in LLMs
Katherine Van Koevering ⋅ Anjalie Field
Reach Into The Choir: Free-List Elicitation Uncovers Distinct Model Voices in LLM Ensembles
Ben Wigler ⋅ Maria Tsfasman
Liberating LLM Capabilities in Full-Duplex Speech Models
Luoyuan Zhang ⋅ Bokai Xu ⋅ junbo Cui ⋅ Weiyue Sun ⋅ Yingjing Xu ⋅ Hanyu Liu ⋅ Yuan Yao
Learning to Draw ASCII Improves Spatial Reasoning in Language Models
Shiyuan Huang ⋅ Li Liu ⋅ Jincheng He ⋅ Leilani H Gilpin
Polar probe linearly decodes semantic structures from LLMs
Pablo Diego-Simón ⋅ Pierre Orhan ⋅ Emmanuel Chemla ⋅ Yair Lakretz ⋅ Jean-Remi King
Large language models reorganize representational geometry during in-context learning
Hua-Dong Xiong ⋅ Li Ji-An ⋅ Robert Wilson ⋅ Kwonjoon Lee ⋅ Xue-Xin Wei
In-Context Learning as Implicit Policy Gradient
Masahiro Kaneko ⋅ Timothy Baldwin
GradAlign: Gradient-Aligned Data Selection for LLM Reinforcement Learning
Ningyuan Yang ⋅ Weihua Du ⋅ Weiwei Sun ⋅ Sean Welleck ⋅ Yiming Yang
StoryScope: Investigating idiosyncrasies in AI fiction
Jenna Russell ⋅ Rishanth Rajendhran ⋅ Mohit Iyyer ⋅ John F Wieting
The Story Shapes the Agent: Narrative Priors in LLM Behavior
Yixuan Wang ⋅ James Lester ⋅ Shashank Srivastava
Measuring Pragmatic Influence in LLM Instructions
Yilin Geng ⋅ Omri Abend ⋅ Eduard Hovy ⋅ Lea Frermann
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
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
Quokka: Accelerating Program Verification with LLMs via Invariant Synthesis
Anjiang Wei ⋅ Tianran Sun ⋅ Tarun Suresh ⋅ Haoze Wu ⋅ Ke Wang ⋅ Alex Aiken
BugScope: Learn to Detect Bugs Like Human
Jinyao Guo ⋅ Chengpeng Wang ⋅ Dominic DeLuca ⋅ Jinjie Liu ⋅ Zhuo Zhang ⋅ Xiangyu Zhang
Coding Agents Don’t Know When to Act
Thibaud Gloaguen ⋅ Niels Mündler-Sasahara ⋅ Mark Niklas Müller ⋅ Veselin Raychev ⋅ Martin Vechev
Who Guards the Benchmarks? Automated Auditing of LLM Agent Benchmarks
Xinming Tu ⋅ Tianze Wang ⋅ Minta Lu ⋅ Kexin Huang ⋅ Yuanhao Qu ⋅ Sara Mostafavi
Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models
Ken Tsui
Can LLMs Introspect? A Reality Check
Shashwat Singh ⋅ Tal Linzen ⋅ Shauli Ravfogel
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
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
ArtifactLinker: Linking Scientific Artifacts for Automatic State-of-the-art Discovery
Haofei Yu ⋅ Jiaxuan You ⋅ Peter Clark ⋅ Bodhisattwa Prasad Majumder ⋅ Kyle Richardson
From Papers to Panoramas: Building Hierarchies of Scientific Literature at Scale
Muhan Gao ⋅ Jash Shah ⋅ Weiqi Wang ⋅ Kuan-Hao Huang ⋅ Daniel Khashabi
Document-as-Image Representations Fall Short for Scientific Retrieval
Ghazal Khalighinejad ⋅ Raghuveer Thirukovalluru ⋅ Alexander H Oh ⋅ Bhuwan Dhingra
Multimodal Latent Reasoning via Predictive Embeddings
Ashutosh Adhikari ⋅ Mirella Lapata
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
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
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
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
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
CT-$\Delta$Bench: A Benchmark for Longitudinal 3D Medical Imaging Difference Reporting with Vision-Language Models
Kegeng Tang ⋅ Jingbo Wang ⋅ Shaogang Ren ⋅ Zihao WANG
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
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
TierCache: A Multi-Granularity Semantic Caching Framework for Structured Query Generation
Myeonghwa Lee ⋅ Hyunjun Yang ⋅ Min-Soo Kim
How Conversational Pressure Alters Belief in Large Language Models: A Hidden State Boundary Perspective
Zihao Huang ⋅ Rui Mao ⋅ Pengjun Xie ⋅ Anupam Chattopadhyay ⋅ Erik Cambria
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
Go to Event Page
Social

WiML Social

Kirandeep Kaur
1:00 PM - 2:30 PM

WiML Social: Sign up by Sept 30 - https://luma.com/l933nqjy

Date and time: Wednesday, October 7, 1:00-2:30 p.m. PT Venue: Bartlett Hall Address: 242 O'Farrell St, San Francisco, CA 94102 (Union Square)

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Expo Talk Panel
1:00 PM - 2:30 PM
Panel

Math, Science, and Knowledge Production in the Era of LLMs

James Evans, Jeremy Avigad, Rose Yu, Alison Gopnik
2:30 PM - 3:30 PM

Panel: James Evans, Jeremy Avigad, Rose Yu, Alison Gopnik

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Oral
3:30 PM - 4:30 PM
4 Events in this session
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
Beyond Distribution Sharpening: The Importance of Task Rewards
Sarthak Mittal ⋅ Leo Gagnon ⋅ Guillaume Lajoie
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
Distributed Attacks in Persistent-State AI Control
Josh Hills ⋅ Ida Caspary ⋅ Asa Cooper Stickland
Go to Event Page
Poster
4:30 PM - 6:30 PM

Imperial Ballroom (#1-73), Franciscan A (#74-80), Franciscan B (#81-90), Franciscan C (#91-100), Grand Ballroom (#101-145)

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144 Events in this session
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
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
Why Vision Fails as a Universal Bridge: Rectifying Modality Asynchrony in Multilingual MLLMs
Yihang Du ⋅ Juhao Liang ⋅ Zhengzhao Lai ⋅ Siyu Li ⋅ Yan Hu
Arbitration Failure, Not Perceptual Blindness: How Vision-Language Models Resolve Visual-Linguistic Conflicts
Farhad Nooralahzadeh ⋅ Omid Rohanian ⋅ Yi Zhang ⋅ Jonathan Fürst ⋅ Kurt Stockinger
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
Seeing Isn’t Believing: Uncovering Blind Spots in Evaluator Vision-Language Models
Mohammed Safi Ur Rahman Khan ⋅ Sanjay Suryanarayanan ⋅ Tushar Anand ⋅ Mitesh M Khapra
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
Semantic Richness or Geometric Reasoning? The Fragility of VLM's Visual Invariance
Jason Qiu ⋅ Zachary Meurer ⋅ Xavier Thomas ⋅ Deepti Ghadiyaram
Multimodal Language Models Cannot Spot Spatial Inconsistencies
Om Khangaonkar ⋅ Hadi J Rad ⋅ Hamed Pirsiavash
From Plausible to Grounded: Reinforcing Structured Consistency in Video MLLMs
Yihao Quan ⋅ Zeru Shi ⋅ Jinman Zhao ⋅ Ruixiang Tang
TGIF: Text-Guided Layer Fusion Mitigates Hallucination in Multimodal LLMs
Chenchen Lin ⋅ Sanbao Su ⋅ Rachel Luo ⋅ Yuxiao Chen ⋅ Yan Wang ⋅ Marco Pavone ⋅ Fei Miao
Creativity and Hallucinations Share Mechanisms in LLMs
Neta Glazer ⋅ Hadas Orgad ⋅ Lenny Aharon ⋅ Ethan Fetaya
Disentangling MLP Neuron Weights in Vocabulary Space
Asaf Avrahamy ⋅ Yoav Gur-Arieh ⋅ Mor Geva
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
Causal Drawbridges: Characterizing Gradient Blocking of Syntactic Islands in Transformer LMs
Sasha Boguraev ⋅ Kyle Mahowald
Superposition Without Interference? Towards Isolated Interventions via Almost Orthogonal Features in Language Models
Moritz Miller ⋅ Florent Draye ⋅ Bernhard Schölkopf
LangFIR: Discovering Sparse Language-Specific Features from Monolingual Data for Language Steering
Sing Hieng Wong ⋅ Hassan Sajjad ⋅ A.B. Siddique
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
Evaluating steering techniques using human similarity judgments
Zach Studdiford ⋅ Timothy T Rogers ⋅ Siddharth Suresh ⋅ Kushin Mukherjee
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
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
SEQUOR: A Multi-Turn Benchmark for Realistic Constraint Following
Beatriz Canaverde ⋅ Duarte Alves ⋅ José Pombal ⋅ Giuseppe Attanasio ⋅ Andre Martins
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
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
The Depth Ceiling: On the Limits of Large Language Models in Discovering Latent Planning
Yi Xu ⋅ Philipp Jettkant ⋅ Laura Ruis
KTPO: K-Step Test-Time Policy Optimization for Long- Horizon Discovery
Dacheng Li ⋅ Fangzhou Zhao ⋅ Shiyi Cao ⋅ Hao Zhang ⋅ Joseph E Gonzalez ⋅ Ion Stoica
Self-Evolving Curriculum for LLM Reasoning
Xiaoyin Chen ⋅ Jiarui Lu ⋅ Minsu Kim ⋅ Dinghuai Zhang ⋅ Jian Tang ⋅ Alexandre Piché ⋅ Nicolas Gontier ⋅ Yoshua Bengio ⋅ Ehsan Kamalloo
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
Beyond Distribution Sharpening: The Importance of Task Rewards
Sarthak Mittal ⋅ Leo Gagnon ⋅ Guillaume Lajoie
From Rebound to Remedy: Understanding and Mitigating Reward Hacking via Representation Engineering
Rui Wu ⋅ Ruixiang Tang
Round-trip Reinforcement Learning: Self-Consistent Training for Better Chemical LLMs
Lecheng Kong ⋅ Xiyuan Wang ⋅ Yixin Chen ⋅ Muhan Zhang
CONCORD: Label-Free Calibration of Verbalized LLM Confidence via Rollout Consistency
Maximilian Schall ⋅ Gerard de Melo ⋅ Padhraic Smyth
PAM: Training Moderation Filters from Policy-Derived Supervision
Masoomali Fatehkia ⋅ Enes Altinisik ⋅ Mohamed Osman ⋅ Husrev Taha Sencar
Quality of Rejections Matters: Preference Data Construction for Faithful Summarization
Jihwan Oh ⋅ Taewon Yun ⋅ Minkyu Che ⋅ Sundong Kim ⋅ Hwanjun Song
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
From Feelings to Metrics: Understanding and Formalizing How Users Vibe-Test LLMs
Itay Itzhak ⋅ Eliya Habba ⋅ Gabriel Stanovsky ⋅ Yonatan Belinkov
SWE-chat: Coding Agent Interactions From Real Users in the Wild
Joachim Baumann ⋅ Vishakh Padmakumar ⋅ Kevin Li ⋅ John Yang ⋅ Diyi Yang ⋅ Sanmi Koyejo
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
FitText: Evolving Agent Tool Ecologies via Memetic Retrieval
Kyle Zheng ⋅ Han Zhang ⋅ Renliang Sun ⋅ Chenchen Ye ⋅ Wei Wang
CHASE: How Content Ecosystems Are Reshaped When Ranking Is the Only Target
Qianwen Gao ⋅ Zichang Su ⋅ Yiwen Hou ⋅ Arlen Kumar ⋅ Leanid Palkhouski
When RAG Fails to Equalize: Geo-bias in Factual Question Answering over Public Companies
Abhinav Havaldar ⋅ Enrico Santus
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
RAQE: Reranker-Aligned Query Expansion via Label-Free Group-Relative Policy Optimization
Gyeonghun Sun ⋅ Jeonghwan Choi ⋅ Sundong Kim ⋅ Hwanjun Song
AgentIR: Reasoning-Aware Retrieval for Deep Research Agents
Zijian Chen ⋅ Xueguang Ma ⋅ Shengyao Zhuang ⋅ Jimmy Lin ⋅ Akari Asai ⋅ Victor Zhong
ResearcherBench: Evaluating Deep AI Research Systems on Open-ended AI Research Tasks
Tianze Xu ⋅ Pengrui Lu ⋅ Lyumanshan Ye ⋅ Xiangkun Hu ⋅ Pengfei Liu
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
The Shrinking Lifespan of LLMs in Science
Ana Trišović
The Hidden Cost of Thinking: Energy Use and Environmental Impact of LMs Beyond Pretraining
Jacob Morrison ⋅ Noah Smith ⋅ Emma Strubell
Data-efficient pre-training by scaling synthetic megadocs
Konwoo Kim ⋅ Suhas Kotha ⋅ Yejin Choi ⋅ Tatsunori Hashimoto ⋅ Nick Haber ⋅ Percy Liang
Generating Pretraining Tokens from Organic Data for Data-Bound Scaling
Zichun Yu ⋅ Chenyan Xiong
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
FineInstructions: Scaling Synthetic Instructions to Pre-Training Scale
Ajay Patel ⋅ Colin Raffel ⋅ Chris Callison-Burch
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
Extracting Arguments, Not Just Classifying Them: Instruction-Tuned LLMs for Generative Component Detection
Sofiane Elguendouze ⋅ Erwan Hain ⋅ Elena Cabrio ⋅ Serena Villata
Automatic or Controlled? Repetition Priming Reveals Divergent Processing in Base LLMs, Instruct LLMs, and Humans
Jinglei Ren ⋅ Yuyue Wang
In-Context Examples Suppress Scientific Knowledge Recall in LLMs
Chaemin Jang ⋅ Woojin Park ⋅ Hyeok Yun ⋅ Dongman Lee ⋅ Jihee Kim
Improving Latent Generalization Using Test-time Compute
Arslan Chaudhry ⋅ Sridhar Thiagarajan ⋅ Andrew K Lampinen
Language Models That Think, Chat Better
Adithya Bhaskar ⋅ Xi Ye ⋅ Danqi Chen
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
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
Are Latent Reasoning Models Easily Interpretable?
Connor Dilgren ⋅ Sarah Wiegreffe
Grounding latent algorithm routing in transformer reasoning
Xiangbo Zhang ⋅ Xiaoxu Ma
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
No Single Best Model for Diversity: Learning a Router for Sample Diversity
Yuhan Liu ⋅ Fangyuan Xu ⋅ Vishakh Padmakumar ⋅ Daphne Ippolito ⋅ Eunsol Choi
Routing Entropy: A Hidden Self-Verifier for Free in Mixture-of-Experts LLMs
Zhongyang Li ⋅ Ziyue Li ⋅ Tianyi Zhou
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
ExpertWeave: Efficiently Serving Expert-Specialized Fine-Tuned Adapters at Scale
Ge Shi ⋅ Hanieh Sadri ⋅ Qian Wang ⋅ Yu Zhang ⋅ Ying Xiong ⋅ Yong Zhang ⋅ Zhenan Fan
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
FutureWeaver: Planning Test-Time Compute for Multi-Agent Systems with Modular Collaboration
Dongwon Jung ⋅ Peng Shi ⋅ Muhao Chen ⋅ Yi Zhang
Data-Efficient Adaptation of LLMs via Attention Head Reweighting
Tuomas Oikarinen ⋅ Zixiao Chen ⋅ Charlotte Siska ⋅ Tsui-Wei (Lily) Weng ⋅ Chandan Singh ⋅ Jianfeng 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
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
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
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
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
DeliveryBench: Can Agents Earn Profit in Simulated Worlds?
Lingjun Mao ⋅ Jiawei Ren ⋅ Jixuan Chen ⋅ Ziqiao Ma ⋅ Kun Zhou ⋅ Lianhui Qin
UrbanLLMind: Scalable LLM-Powered Urban Mobility Simulation with Open-Weight Models
Prabin Bhandari ⋅ Sandro M Reia ⋅ Dieter Pfoser ⋅ Antonios Anastasopoulos
Agent Bazaar: Enabling Economic Alignment in Multi-Agent Marketplaces
Seth Karten ⋅ Cameron Crow ⋅ Chi Jin
Cooperative Profiles Predict Multi-Agent LLM Team Performance in AI for Science Workflows
Shivani Kumar ⋅ Adarsh Bharathwaj ⋅ David Jurgens
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
A Prior-Aware Metric for Efficiently Distinguishing Memorization from Generalization in Large Language Models
Trishita Tiwari ⋅ Ari Trachtenberg ⋅ G. Edward Suh
The Collaboration Gap: Exploration and Benchmarking of Open-World Agentic Cooperation
Tim R Davidson ⋅ Adam Fourney ⋅ Saleema Amershi ⋅ Robert West ⋅ Eric Horvitz ⋅ Ece Kamar
Group-Evolving Agents: Open-Ended Self-Improvement via Experience Sharing
Zhaotian Weng ⋅ Antonis Antoniades ⋅ Deepak Nathani ⋅ Zhen Zhang ⋅ Sophia Pu ⋅ Eric Wang
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
PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing
Yiwen Song ⋅ Yale Song ⋅ Tomas Pfister ⋅ Jinsung Yoon
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
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
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
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
CoreSemDB: Benchmarking Hybrid Semantic-Relational Query Processing over Text-Rich Databases
Yuchen Tian ⋅ Jianxiong Guo ⋅ Hao Zhang ⋅ Jing Ma ⋅ Congli Gao
VeriSoftBench: Repository-Scale Formal Verification Benchmarks for Lean
Yutong Xin ⋅ Jocelyn Qiaochu Chen ⋅ Greg Durrett ⋅ Isil Dillig
What Language Models Know But Don't Say: Non-Generative Prior Extraction for Generalization
Sara Rezaeimanesh ⋅ Mohammad M Ghassemi ⋅ Kundan S Thind ⋅ Farzan Siddiqui
The Art of Building Verifiers for Computer Use Agents
Corby Rosset ⋅ Pratyusha Sharma ⋅ Andrew Zhao ⋅ Miguel Gonzalez Fernandez ⋅ Ahmed H Awadallah
ComponentBench: Diagnosing Component-Level Failures in Computer-Use Agents
Tianchen Guan ⋅ Daisy X Lin ⋅ Royce Cheng-Yue ⋅ Xiangjun Wang ⋅ Shuyan Zhou
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
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
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
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
Beyond Perplexity: Character Distribution Signatures and the MDTA Benchmark for AI Text Detection
Priyadarshan Narayanasamy ⋅ Swastik Agrawal ⋅ Klint Faber ⋅ Fardina F Alam
How Humans and LLMs Read Gender into “Gender-Neutral” Physical Descriptions
Yingjia Wan ⋅ Lin L Lin ⋅ Elisa Kreiss
From Individuals to Interactions: Benchmarking Gender Bias in Multimodal Large Language Models Through the lens of Social Relationship
Yue Xu ⋅ Wenjie Wang
Whose Standpoint do LLMs Reflect? Surfacing and Mitigating Epistemic Blindspots
Julius Broomfield ⋅ Kartik Sharma
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
Lower-Resource, Higher Scores: Language Bias in LLM Evaluators
Ej Zhou ⋅ Lucas Resck ⋅ Zheng Hui ⋅ Anna Korhonen
Penalizing Length: Uncovering Systematic Bias in Quality Estimation Metrics
Yilin Zhang ⋅ Wenda Xu ⋅ Zhongtao Liu ⋅ Tetsuji Nakagawa ⋅ Markus Freitag
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
SCOPE: A Generative Approach for LLM Prompt Compression
Tinghui Zhang ⋅ Yifan Wang ⋅ Daisy Z Wang
Optical Context Compression Is Just (Bad) Autoencoding
Ivan Lee ⋅ Cheng Yang ⋅ Taylor Berg-Kirkpatrick
SideQuest: Model-Driven KV Cache Management for Long-Horizon Agentic Workloads
Sanjay Kariyappa ⋅ G. Edward Suh
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
Fork-think with Confidence
Zena Al-Khalili ⋅ Rafi Hakim ⋅ Dietrich Klakow ⋅ Ji-Ung Lee
Test-Time Scaling in Reasoning Models Is Not Effective for Knowledge-Intensive Tasks Yet
James Xu Zhao ⋅ Bryan Hooi ⋅ See-Kiong Ng
Sample, Align, Synthesize: Graph-Based Response Synthesis with ConGrs
Sayan Ghosh ⋅ Shahzaib S Warraich ⋅ Dhruv Tarsadiya ⋅ Gregory Yauney ⋅ Swabha Swayamdipta
An Investigation of Translationese in the Generations of Multilingual Large Language Models
Maria Valentini ⋅ Téa Wright ⋅ Julisa Granados ⋅ Eliana Colunga ⋅ Katharina von der Wense
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
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
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
AMAT: Automated Multi-Agent Topology Design via Reinforcement Learning
Shijie Zheng ⋅ Zhiqiang Pu ⋅ Hao Ma ⋅ Tianyi Hu ⋅ Xiaolin Ai ⋅ Yi Pan
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
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
PrefPO: Pairwise Preference Prompt Optimization
Rahul Singhal ⋅ Pradyumna Tambwekar ⋅ Karime Maamari
GoodPoint: Learning Constructive Scientific Paper Feedback from Author Responses
Jimin Mun ⋅ Chani Jung ⋅ Xuhui Zhou ⋅ Hyunwoo Kim ⋅ Maarten Sap
Process-Oriented Evaluation of AI-Assisted Scientific Writing
Patrick Da Silva ⋅ Sanchaita Hazra ⋅ Doeun Lee ⋅ Sachin Kumar ⋅ Bodhisattwa Prasad Majumder
LLMs Corrupt Your Documents When You Delegate
Philippe Laban ⋅ Tobias Schnabel ⋅ Jennifer Neville
Multilingual Agent-Based World Modeling for Social Science
Xuan Zhang ⋅ Wenxuan Zhang ⋅ Anxu Wang ⋅ See-Kiong Ng ⋅ Yang Deng
Distributed Attacks in Persistent-State AI Control
Josh Hills ⋅ Ida Caspary ⋅ Asa Cooper Stickland
Preference Redirection via Attention Concentration: An Attack on Computer Use Agents
Dominik Seip ⋅ Matthias Hein
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
FoR-SALE: Frame of Reference-guided Spatial Adjustment in LLM-based Diffusion Editing
Tanawan Premsri ⋅ Parisa Kordjamshidi
RELISH: LLM REgression with a Latent Iterative State Head
Yiheng Su ⋅ Matt Lease
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
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
SonicSampler: Unified Tile-Aware Kernels for LLM Sampling and Speculative Verification
Pragaash Ponnusamy ⋅ Shivam Sahni ⋅ Jue WANG ⋅ Tri Dao
NI Sampling++: Optimizing Token Order for Fast Discrete Diffusion Sampling with Reinforcement Learning
Enshu Liu ⋅ Theodore Z Zhao ⋅ Xuefei Ning ⋅ Zinan Lin ⋅ Yu Wang
Mask-Aware Policy Gradients for Diffusion Language Models
Haran Raajesh ⋅ Kulin Shah ⋅ Adam Klivans ⋅ Philipp Kraehenbuehl
Social World Models
Xuhui Zhou ⋅ Jiarui Liu ⋅ Akhila Yerukola ⋅ Hyunwoo Kim ⋅ Maarten Sap
Multi-Mask Diffusion Language Models for Few-Step Generation
Sijin Chen ⋅ Yinuo Ren ⋅ Heyang Zhao ⋅ Ziheng Cheng ⋅ Quanquan Gu ⋅ Lexing Ying
LORA-CRAFT: Cross-layer Rank Adaptation via Frozen Tucker Decomposition of Pre-trained Attention Weights
Kasun Dewage ⋅ Marianna Pensky ⋅ Shankhadeep Mondal ⋅ Suranadi De Silva
Dual-Stream Decoding for Accelerated Large Language Models
Dmitry Abulkhanov ⋅ Daniil Strizhakov ⋅ Maxim Panov
Trie Automata for Constrained Decoding over Large Finite Sets
Xingzi Xu ⋅ Karim Bouyarmane
Neuro-Symbolic Synergy for World Modeling
Hongyu Zhao ⋅ Siyu Zhou ⋅ Haolin Yang ⋅ Zengyi Qin ⋅ Tianyi Zhou
Neuro-symbolic PRM: Enhancing Scientific Reasoning via Structured Traces and Symbolic Verification
Yuxin Zi ⋅ Cong Xu ⋅ Suparna Bhattacharya ⋅ Martin Foltin ⋅ Amit Sheth
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