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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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Remarks
8:45 AM - 9:00 AM
Invited Talk
9:00 AM - 10:00 AM

Reliability is one of the biggest open challenges in AI today. Despite the ubiquity of language models in society today, they still make frequent mistakes that render human review essential for a broad range of applications. In this talk, I will discuss lessons from robotics that can teach us something about the challenges faced in language model development, specifically around alignment, observability, and manual engineering, and how those lessons can translate to improvements in language model systems.

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Speaker Bio
Chelsea Finn
Chelsea Finn is an Assistant Professor in Computer Science and Electrical Engineering at Stanford University and a co-founder of Physical Intelligence (Pi). Her research interests lie in the capability of robots and other agents to develop broadly intelligent behavior through learning and interaction. To this end, her work has pioneered end-to-end deep learning methods for vision-based robotic manipulation, meta-learning algorithms for few-shot learning, and approaches for scaling robot learning to broad datasets. Her research has been recognized by awards such as the Presidential Early Career Award for Scientists and Engineers, the Sloan Fellowship, and the ACM doctoral dissertation award, and has been covered by various media outlets including the New York Times, Wired, and Bloomberg. Prior to joining Stanford, she received her Bachelor's degree in Electrical Engineering and Computer Science at MIT and her PhD in Computer Science at UC Berkeley.
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Oral
10:00 AM - 11:00 AM
4 Events in this session
Source-Modality Monitoring in Vision-Language Models
Etha Tianze Hua ⋅ Tian Yun ⋅ Ellie Pavlick
CollabSkill: Evaluating Human-Agent Collaboration On Real-World Tasks
Yijia Shao ⋅ Zora Wang ⋅ Neel Ahuja ⋅ Yicheng Wang ⋅ Bowen Liu ⋅ Diyi Yang
Reasoning about Intent for Ambiguous Requests
Irina Saparina ⋅ Mirella Lapata
More Than Words: Compositional Tokenization for Efficient Language Models
Yuval Reif ⋅ Guy Kaplan ⋅ Roy Schwartz
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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
Autonomy Reshapes How Personalization Affects Privacy Concerns and Trust in LLM Agents
Zhiping Zhang ⋅ Yi E Zhang ⋅ Freda Shi ⋅ Tianshi Li
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
Context-based normative simulacra from narrative fiction
Matt Franchi ⋅ Madiha Zahrah Choksi ⋅ Harold Triedman ⋅ Helen Nissenbaum
Do LLMs Know What Is Private Internally? Probing and Steering Contextual Privacy Norms in Large Language Model Representations
Haoran Wang ⋅ Li Xiong ⋅ Kai Shu
Subliminal Steering: Encoding and Detecting Hidden Signals
George Morgulis ⋅ John Hewitt
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
Activation Steering via Generative Causal Mediation
Aruna Sankaranarayanan ⋅ Amir Zur ⋅ Atticus Geiger ⋅ Dylan Hadfield-Menell
Steering LLMs for Culturally Localized Generation
Simran Khanuja ⋅ Hongbin Liu ⋅ Shujian Zhang ⋅ John Lambert ⋅ Mingqing Chen ⋅ Rajiv Mathews ⋅ Lun Wang
MET: Theory-Grounded and Culture-Aware Multilingual Moral Reasoning
Ayoung Lee ⋅ Ryan Kwon ⋅ Yunxiang Zhang ⋅ Yuxuan Liu ⋅ Peter Railton ⋅ Lu Wang
Evaluating and Mitigating Misgendering in English-to-Hindi Machine Translation
Shreyas Gantayet ⋅ Chavi Gupta ⋅ Samyak Savi ⋅ Tanay Sodha ⋅ Dhruv Kumar
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
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
Oolong: Evaluating Long Context Reasoning and Aggregation Capabilities
Amanda Bertsch ⋅ Adithya Pratapa ⋅ Teruko Mitamura ⋅ Graham Neubig ⋅ Matthew R Gormley
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
TSRouter: Dynamic Modality-Model Selection for Time Series Reasoning
Fangxu Yu ⋅ Tao Feng ⋅ Dehai Min ⋅ Lu Cheng ⋅ Ge Liu ⋅ Tianyi Zhou
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
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
When Verification Fails: How Compositionally Infeasible Claims Escape Rejection
Muxin Liu ⋅ Delip Rao ⋅ Grace Kim ⋅ Chris Callison-Burch
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
Synthetic Data for any Differentiable Target
Tristan Thrush ⋅ Sung Min Park ⋅ Herman Brunborg ⋅ Luke Bailey ⋅ Marcel Rød ⋅ Neil Band ⋅ Christopher Potts ⋅ Tatsunori Hashimoto
Synthesizing Instruction-Tuning Datasets with Contrastive Decoding
Tatsuya Ichinose ⋅ Youmi Ma ⋅ Masanari Oi ⋅ Ryuto Koike ⋅ Naoaki Okazaki
From Terminology to Diagrams: Visual-Instruction Generation for Scientific Diagram Understanding
Raúl Ortega ⋅ José Manuel Gómez-Pérez
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
Wiener Filtering for VLM Hallucination Suppression
Ameen Ali ⋅ Tamim Zoabi ⋅ Lidor Brami ⋅ Lior Wolf
Fine-Tuning Was Not Broken but Diffuse: Precise Knowledge Editing via Projected Error Signals
Shahar Katz ⋅ Avi Caciularu ⋅ Lior Wolf
LLM Knowledge is Brittle: Truthfulness Representations Rely on Superficial Resemblance
Patrick Haller ⋅ Mark Ibrahim ⋅ Polina Kirichenko ⋅ Levent Sagun ⋅ Samuel J Bell
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
Filtered Reasoning Score: Evaluating Reasoning Quality on a Model's Most-Confident Traces
Manas Pathak ⋅ Xingyao Chen ⋅ Shuozhe Li ⋅ Amy Zhang ⋅ Liu Leqi
Understanding and Mitigating Premature Confidence for Better LLM Reasoning
Jingchu Gai ⋅ Guanning Zeng ⋅ Christina Baek ⋅ Chen Wu ⋅ J Kolter ⋅ Andrej Risteski ⋅ Aditi Raghunathan
Counterfactual Simulation Training for Chain-of-Thought Faithfulness
Peter Hase ⋅ Christopher Potts
Data Repetition Beats Data Scaling in Long-CoT Supervised Fine-Tuning
Dawid J Kopiczko ⋅ Sagar Vaze ⋅ Tijmen Blankevoort ⋅ Yuki M Asano
Early Data Exposure Improves Robustness to Subsequent Fine-Tuning
Lawrence Feng ⋅ Gaurav R Ghosal ⋅ Jacob M Springer ⋅ Ziqian Zhong ⋅ Aditi Raghunathan
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
$V_{0.5}$: Generalist Value Model as a Prior for Sparse RL Rollouts
Yi-Kai Zhang ⋅ Yueqing Sun ⋅ Hongyan Hao ⋅ Xunliang Cai ⋅ Long Chen ⋅ De-Chuan Zhan ⋅ Han-Jia Ye ⋅ Xierui SONG
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
Adversarial Reward Auditing for Active Detection and Mitigation of Reward Hacking
Mohammad Beigi ⋅ Ming Jin ⋅ Junshan Zhang ⋅ Qifan Wang ⋅ Lifu Huang
Behavioral Canaries: Auditing Private Retrieved Context Usage in RL Fine-Tuning
Chaoran Chen ⋅ Dayu Yuan ⋅ Peter Kairouz
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
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
Measuring Nines of Reliability: Sample-Efficient LLM Evaluation in Saturated GSM Benchmarks
Eungyeup Kim ⋅ Chenchen Gu ⋅ Vashisth Tiwari ⋅ J Kolter
The Illusion of Stochasticity in LLMs
Xiangming Gu ⋅ Soham De ⋅ Michalis Titsias ⋅ Larisa Markeeva ⋅ Petar Veličković ⋅ Razvan Pascanu
Why Gaussian Diffusion Models Fail on Discrete Data?
Alexander Shabalin ⋅ Simon Elistratov ⋅ Viacheslav Meshchaninov ⋅ Ildus Sadrtdinov ⋅ Dmitry Vetrov
Measuring AI "Slop" in Text
Chantal Shaib ⋅ Tuhin Chakrabarty ⋅ Diego Garcia-Olano ⋅ Byron Wallace
Making Grid Beam Search Less Greedy
Sean Papay ⋅ Roman Klinger
Encode Once, Decode Never: Reusing Audio LM Internals for Efficient Temporal Localization
Joseph An ⋅ Phillip Keung ⋅ Jiaqi Wang ⋅ Orevaoghene Ahia ⋅ Noah Smith
More Than Words: Compositional Tokenization for Efficient Language Models
Yuval Reif ⋅ Guy Kaplan ⋅ Roy Schwartz
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
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
MameLoshnLM: Yiddish Language Model and Evaluation Benchmark
Uri Katz ⋅ Omer Goldman ⋅ Tomasz Limisiewicz ⋅ Reut Tsarfaty ⋅ Noah Smith
The Embedder's Dilemma: LLMs Are Better, but at What Cost?
Adnan El Assadi ⋅ Niklas Muennighoff ⋅ Jinhyuk Lee
LLMs Encode Their Failures: Predicting Success from Pre-Generation Activations
William Gitta Lugoloobi ⋅ Thomas Foster ⋅ William Bankes ⋅ Chris Russell
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
SWE-Replay: Efficient Test-Time Scaling for Software Engineering Agents
Yifeng Ding ⋅ LINGMING ZHANG
Learning Reasoning World Models for Parallel Code
Gautam Singh ⋅ Arjun Guha ⋅ Bhavya Kailkhura ⋅ Harshitha Menon
SuperCoder: Assembly Program Superoptimization with Large Language Models
Anjiang Wei ⋅ Tarun Suresh ⋅ Huanmi Tan ⋅ Yinglun Xu ⋅ Gagandeep Singh ⋅ Ke Wang ⋅ Alex Aiken
DarwinLM: Evolutionary Structured Pruning of Large Language Models
Shengkun Tang ⋅ Oliver Sieberling ⋅ Eldar Kurtic ⋅ Zhiqiang Shen ⋅ Dan Alistarh
Sememe: Causal Modeling for Task-Aware Depth Pruning of Large Language Models
Charles Yu ⋅ Heng Ji
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
Resa: Efficient Reasoning Models via SAEs
Shangshang Wang ⋅ Julian Asilis ⋅ Ömer Faruk Akgül ⋅ Enes B Bilgin ⋅ Ollie Liu ⋅ Deqing Fu ⋅ Willie Neiswanger
$\pi^2$: 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
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
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
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
SAKE: Structured Agentic Knowledge Extrapolation for Complex LLM Reasoning via Reinforcement Learning
Jiashu He ⋅ Jinxuan Fan ⋅ Bowen Jiang ⋅ Ignacio Hounie ⋅ Dan Roth ⋅ Alejandro Ribeiro
CABLE: Extending the Reach of Memory Retrieval via Complementary Antecedent-Based Linking and Expansion
Zheling Tan ⋅ Jin Gao ⋅ Dequan Wang
RecaLLM: Addressing the Lost-in-Thought Phenomenon with Explicit In-Context Retrieval
Kyle Whitecross ⋅ Razieh Rahimi
Unable to Forget: Proactive Interference Reveals Working Memory Limits in LLMs Beyond Context Length
Chupei Wang ⋅ Jiaqiu Vince Sun
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
Asymmetric Idiosyncrasies in Multimodal Models
Muzi Tao ⋅ Chufan Shi ⋅ Huijuan Wang ⋅ Shengbang Tong ⋅ Xuezhe (Max) Ma
LPDS: Evaluating LLM Robustness Through Logic-Preserving Difficulty Scaling
Philipp Mondorf ⋅ Samuel J Bell ⋅ Jesse Dodge ⋅ Dieuwke Hupkes
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
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
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
Pinocchio: Fast Uncertainty Estimates for Black-Box Language Models
Kevin D Hayes ⋅ Arka Pal ⋅ Haosong Zhang ⋅ Tom Goldstein ⋅ Micah Goldblum
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
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
Learning to Learn from Language Feedback with Social Meta-Learning
Jonathan Cook ⋅ Diego Antognini ⋅ Martin Klissarov ⋅ Claudiu C Musat ⋅ Edward Grefenstette
In-Context Exploration-Exploitation is Biased by Semantic Priors
David Austin ⋅ Kaheer Suleman ⋅ Jackie Cheung
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
Source-Modality Monitoring in Vision-Language Models
Etha Tianze Hua ⋅ Tian Yun ⋅ Ellie Pavlick
Latent Context Compilation: Distilling Long Context into Compact Portable Memory
Zeju Li ⋅ Yizhou Zhou ⋅ Qiang Xu
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
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
Gaze Attention: Query-Adaptive Visual Routing for Efficient Multimodal LLMs
Junha Song ⋅ Byeongho Heo ⋅ Geonmo Gu ⋅ Jaegul Choo ⋅ Dongyoon Han ⋅ Sangdoo Yun
Learning to Refer from Estimated Listener Gaze
Téa Wright ⋅ Alane Suhr
Improving GUI Grounding with Explicit Position-to-Coordinate Mapping
Suyuchen Wang ⋅ TIANYU ZHANG ⋅ Ahmed Masry ⋅ Christopher Pal ⋅ Spandana Gella ⋅ Bang Liu ⋅ Perouz Taslakian
v1: Learning to Point Visual Tokens for Multimodal Mathematical Grounded Reasoning
Jiwan Chung ⋅ Junhyeok Kim ⋅ Siyeol Kim ⋅ Jaeyoung Lee ⋅ Min Soo Kim ⋅ Youngjae Yu
To See the Unseen: on the Generalization Ability of Transformers in Symbolic Reasoning
Nevena Lazic ⋅ Liam H Fowl ⋅ András György ⋅ Csaba Szepesvari
Thinking to Recall: How Reasoning Unlocks Parametric Knowledge in LLMs
Zorik Gekhman ⋅ Roee Aharoni ⋅ Eran Ofek ⋅ Mor Geva ⋅ Roi Reichart ⋅ Jonathan Herzig
Reasoning over Non-Parametric Memory in Multilingual LLMs: A Cognitive-Based Analysis of Relational Knowledge
Zohreh A Liasi ⋅ Batoul Hammoud ⋅ Anas Madkoor ⋅ Ehsaneddin Asgari
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
Uncovering the computational ingredients that support human-like conceptual representations in large language models
Zach Studdiford ⋅ Timothy T Rogers ⋅ Kushin Mukherjee ⋅ Siddharth Suresh
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
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
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
CollabSkill: Evaluating Human-Agent Collaboration On Real-World Tasks
Yijia Shao ⋅ Zora Wang ⋅ Neel Ahuja ⋅ Yicheng Wang ⋅ Bowen Liu ⋅ Diyi Yang
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
Characterizing Model-Native Skills
Feiyang Kang ⋅ Mahavir Dabas ⋅ Myeongseob Ko ⋅ Ruoxi Jia
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
Prototype Language Models
Dan Ley ⋅ Giang Nguyen ⋅ Himabindu Lakkaraju ⋅ Julius Adebayo
Token-Level Off-Policy Learning for Faithful Generation Under Distribution Shift
Zitong Huang ⋅ Gustavo A de Carvalho ⋅ Deqing Fu ⋅ Robin Jia
V-DEAL: Diagnosing Video Safety De-Calibration as an Understanding--Refusal Coupling Failure
Zhetong Zhang ⋅ Honghao Fu ⋅ Miao Xu ⋅ Yiwei Wang ⋅ Yujun Cai
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
Function Over Form: Distributional Orthogonalization in Mixture-of-Experts with Replica Expert Mechanism
Jinfan He ⋅ Yunzhuo Liu ⋅ Kai Zhang ⋅ Weidong Han ⋅ key ⋅ Rayying
MoRE: Mixture of Reused Experts
Eric S. Qiu ⋅ Utku U ACIKALIN ⋅ Justin Lovelace ⋅ Christian Belardi ⋅ Arjun B Mulchandani ⋅ Carla P Gomes ⋅ Kilian Weinberger
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
Parcae: Scaling Laws For Stable Looped Language Models
Hayden Prairie ⋅ Zachary Novack ⋅ Taylor Berg-Kirkpatrick ⋅ Daniel Y Fu
A Spectral Transport Mechanism Underlying the Training Dynamics of Large Language Models
Yizhou Zhang ⋅ Weichen Wu ⋅ Lun Du ⋅ Zhengjie Miao
MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU
Zhengqing Yuan ⋅ Hanchi Sun ⋅ Lichao Sun ⋅ Yanfang (Fanny) Ye
KronQ: LLM Quantization via Kronecker-Factored Hessian
Donghyun Lee ⋅ Yuhang Li ⋅ Ruokai Yin ⋅ Priyadarshini Panda
Covariance-Aware Transformers for Quadratic Programming and Decision Making
Kutay Tire ⋅ Yufan Zhang ⋅ Ege Onur Taga ⋅ Samet Oymak
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
Beware What You Autocomplete: Forensic Attribution of Backdoored Code Completions
Anjun Gao ⋅ Yueyang Quan ⋅ Zhuqing Liu ⋅ Minghong Fang
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
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
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
Procedure-Aware Reinforcement Learning for Tool-Augmented Large Language Models
Qinglong Zheng ⋅ Jiajun Fan ⋅ Chaoran Cheng ⋅ Ge Liu
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
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
Clarify or Answer: Reinforcement Learning for Agentic VQA with Context Under-specification
Zongwan Cao ⋅ Bingbing Wen ⋅ Lucy Lu Wang
Reasoning about Intent for Ambiguous Requests
Irina Saparina ⋅ Mirella Lapata
Knowing Before Answering: Decoding Language Models for Reliable RAG
Syed Mahbubul Huq ⋅ Christopher Child ⋅ Tillman Weyde ⋅ Pranava Madhyastha
Revision or Re-Solving? Decomposing Second-Pass Gains in Multi-LLM Pipelines
Jingjie Ning ⋅ Xueqi Li ⋅ Chengyu Yu
Most current model organisms are leaky: Perplexity differencing often reveals finetuning objectives
Mohammed Abu Baker ⋅ Luca Baroni ⋅ Dan Wilhelm
RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test Time
Haozhe Wang ⋅ Cong Wei ⋅ Weiming Ren ⋅ Jiaming Liu ⋅ Fangzhen Lin ⋅ Wenhu Chen
Personalized RewardBench: Evaluating Reward Models with Human Aligned Personalization
Qiyao Ma ⋅ Dechen Gao ⋅ Rui Cai ⋅ BOQI ZHAO ⋅ Hanchu Zhou ⋅ Junshan Zhang ⋅ Zhe Zhao
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
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
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
InterviewSim: A Scalable Framework for Interview-Grounded Personality Simulation
Yu Li ⋅ Pranav Narayanan Venkit ⋅ Yada Pruksachatkun ⋅ Chien-Sheng Wu
Identifying Introspection From the Inside
David Atkinson ⋅ Dillon Plunkett ⋅ David Bau
Rule vs. Consequence: Dissociable Internal Representations of Moral Reasoning in LLMs
Eugenie Shi
Interaction Protocol Shapes Moral Judgment in Multi-Agent Debate
Pratik Sachdeva ⋅ Tom van Nuenen
Misalignment Contagion: Can a Misaligned Minority Shift Aligned Agents in Multi-Agent LLM Deliberation?
Syed Ali Haider ⋅ Soroush Vosoughi
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
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
Persona Non Grata: Single-Method Safety Evaluation Is Incomplete for Persona-Imbued LLMs
Wenkai Li ⋅ Fan Yang ⋅ Shaunak A Mehta ⋅ Koichi Onoue
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
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
Fragility Under Pressure: Evaluating the Iterative Stability of LLMs in Constrained Interactive Coding
Zhuoheng Han ⋅ Jin-Ge Yao ⋅ Zailong Tian ⋅ Xi Yang ⋅ Houfeng Wang
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Invited Talk
2:30 PM - 3:30 PM

Political neutrality in AI is impossible. What does that mean for the effects of AI on political persuasion? My research on information control in China offers an unexpected vantage point for examining the politics of generative AI. Biased models can persuade, much as propaganda does in China and other authoritarian regimes. But persuasion requires exposure. In competitive information environments, exposure is contested. A large body of research on political campaigns finds small, and often null, effects of advertising, canvassing, and other persuasion attempts, despite enormous resources devoted to them, in environments where people encounter many competing messages. Understanding that exposure, not persuasiveness, is what limits media effects changes how we should approach political neutrality in AI. Neutrality may be unattainable in any single model, but it can be approximated at the level of the ecosystem, through diverse models, viewpoints, and sources. What the Chinese government has done, in its efforts to control digital information and now in generative AI, is restrict diversity at the ecosystem level. This suggests that the central political risk of AI is not that any single model is biased, but that the ecosystem becomes politically homogeneous.

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Speaker Bio
Jennifer Pan
Jennifer Pan is the Sir Robert Ho Tung Professor of Chinese Studies, Professor of Communication and a Senior Fellow at the Freeman Spogli Institute at Stanford University. Her research uses experimental and computational methods with large-scale datasets on political activity to answer questions about the role of digital media in politics, including how political censorship, propaganda, and information manipulation work in the digital age and how preferences and behaviors are shaped as a result. She is the author of Welfare for Autocrats: How Social Assistance in China Cares for its Rulers (Oxford University Press, 2020). Her work has appeared in peer-reviewed publications such as the American Political Science Review, American Journal of Political Science, Journal of Politics, Science, and Nature.
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Oral
3:30 PM - 4:30 PM
4 Events in this session
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
When Do LLMs Admit Their Mistakes? Understanding The Role Of Model Belief In Retraction
Yuqing Yang ⋅ Robin Jia
Phonological Perception of Sign Language Models
Kayo Yin ⋅ Jessica Carter ⋅ Alex X Lu ⋅ Annemarie Kocab
Attribution Bias in Large Language Models
Eliza H Berman ⋅ Bella Chang ⋅ Daniel B Neill ⋅ Emily Black
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
Reasoning with Image Generation
Nishad Singhi ⋅ Hector Garcia Rodriguez ⋅ Aditya Arora ⋅ Marcus Rohrbach ⋅ Anna Rohrbach
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
Talk is Cheap, Communication is Hard: Dynamic Grounding Failures and Repair in Multi-Agent Negotiation
Yiheng Yao ⋅ Robert Hawkins
Effective Strategies for Asynchronous Software Engineering Agents
Jiayi Geng ⋅ Graham Neubig
HAI-Agent: Improving Long Horizon Software Engineering with Handoff Interventions
Junhao Wang ⋅ Evander Yang ⋅ Zenan Xu ⋅ Taiqiang Wu ⋅ Feiyuan Zhang ⋅ Michael R Lyu
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
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
LeanGeo: Formalizing Competitional Geometry problems in Lean
Chendong Song ⋅ Zihan Wang ⋅ Frederick Pu ⋅ Haiming Wang ⋅ Xiaohan Lin ⋅ Junqi Liu ⋅ Jia LI ⋅ Zhengying Liu
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
DRBENCHER: Can Your Agent Identify the Entity, Retrieve Its Properties and Do the Math?
Young-Suk Lee ⋅ Ramón Fernandez Astudillo ⋅ Radu Florian
InfiniteScienceGym: An Unbounded, Procedurally-Generated Benchmark for Scientific Analysis
Oliver Bentham ⋅ Vivek Srikumar
MegaScience: Pushing the Frontiers of Open Post-Training Datasets for Science Reasoning
Run-Ze Fan ⋅ Zengzhi Wang ⋅ Pengfei Liu
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
Agentic Aggregation for Parallel Scaling of Long-Horizon Agentic Tasks
Yoonsang Lee ⋅ Howard Yen ⋅ Xi Ye ⋅ Danqi Chen
FutureWeaver: Planning Test-Time Compute for Multi-Agent Systems with Modular Collaboration
Dongwon Jung ⋅ Peng Shi ⋅ Muhao Chen ⋅ Yi Zhang
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
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
Relative Scaling Laws for LLMs
William B Held ⋅ David L Hall ⋅ Percy Liang ⋅ Diyi Yang
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
Cost-Efficient Estimation of General Abilities Across Benchmarks
Michael Krumdick ⋅ Adam Wiemerslage ⋅ Seth Ebner ⋅ Charles Lovering ⋅ Chris Tanner
RankBALD: Ranking-Aligned Active Evaluation for Language Models
Bonaventure F. P. Dossou ⋅ Jackie Cheung
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
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
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
QLPO: Quadrant-weighted sampling for Length-aware Policy Optimization
Siwei Chen ⋅ SiQi Chen ⋅ Xupeng Miao ⋅ Bin CUI
Learn from Zero: Policy Optimization under Vanishing Advantage
Chang Liu ⋅ Peng Xiao ⋅ Jiandong Su ⋅ Wayne Zhang
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
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
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
Building Multi-Task Agentic LLMs via Two-Phase Distillation
Huaijie Wang ⋅ Shusheng Xu ⋅ Yi Wu ⋅ Kaifeng Lyu
Exploring Temporal Curriculum in On-Policy Distillation for Multi-turn Autonomous Agents
Jiaqi WANG ⋅ Wenhao Zhang ⋅ Weijie Shi ⋅ Yaliang Li ⋅ James Cheng
Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes
Yuqian Fu ⋅ Haohuan Huang ⋅ Kaiwen Jiang ⋅ Jiacai Liu ⋅ Zhuo Jiang ⋅ Yuanheng Zhu ⋅ Dongbin Zhao
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
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
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
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
LLMs as Content Curators: A Large-Scale Audit of Recommendation Bias Across Providers and Platforms
Nicolò Pagan ⋅ Christopher Barrie ⋅ Christopher Bail ⋅ Petter Törnberg
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
Investigating Social Bias Changes in Quantized Large Language Models
Stanley Hua ⋅ Sanae Lotfi ⋅ Irene Y Chen
MuonQ: Enhancing Low-Bit Muon Quantization via Directional Fidelity Optimization
Yupeng Su ⋅ Ruijie Zhang ⋅ Ziyue Liu ⋅ Yequan Zhao ⋅ Zheng Zhang
Muon^p: Muon with Fractional Spectral Powers
Yihe Dong ⋅ Will Sawin
Spectral Principal Paths: A Spectral Perspective on Linear Representation Formation in LLMs
Bowei Tian ⋅ Xuntao Lyu ⋅ Meng Liu ⋅ Hongyi Wang ⋅ Ang Li
PCA-guided Activation Scaling for Monotonic Bidirectional Control over LLM Sycophancy
Zheng CHEN ⋅ Zhaoxin Feng ⋅ Yip T Po ⋅ Jianfei Ma ⋅ Emmanuele Chersoni ⋅ Bo Li
Spillover-Aware Multi-Value Steering for Pluralistic LLM Alignment
Weici Pan ⋅ Xander Barron ⋅ Jiawei Zhou ⋅ Zhenhua Liu
Overton Pluralistic Reinforcement Learning for Large Language Models
Yu Fu ⋅ Seongho Son ⋅ Ilija Bogunovic
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
Scaling Self-Play with Self-Guidance
Luke Bailey ⋅ Kaiyue Wen ⋅ Kefan Dong ⋅ Tatsunori Hashimoto ⋅ Tengyu Ma
How Much Backtracking is Enough? Exploring the Interplay of SFT and RL in Enhancing LLM Reasoning
Hongyi Cai ⋅ Junlin Wang ⋅ Xiaoyin Chen ⋅ Bhuwan Dhingra
What Makes Good Multilingual Reasoning? Disentangling Reasoning Traces with Measurable Features
Dayeon Ki ⋅ Kevin Duh ⋅ Marine Carpuat
Capacity-Dependent Effects of Data Selection for Mathematical Reasoning
Cuong Dang ⋅ Hoang Anh Just ⋅ Ruoxi Jia
(How) Learning Rates Regulate Catastrophic Overtraining
Mark Rofin ⋅ Aditya Varre ⋅ Nicolas Flammarion
GRRR: The Geometry of Reshaping, Rotation, and Routing in Decoder LLM Post Training
Jianing Qi ⋅ Hao Tang ⋅ Zhigang Zhu
Matching Accuracy, Different Geometry: Evolution Strategies vs GRPO in LLM post-training
William Hoy ⋅ Binxu Wang ⋅ Xu Pan
Restoring Generalization in Fine-tuned Multimodal LLMs via Geometric Alignment
Lixuan He ⋅ Shikang Zheng ⋅ Guantao Chen
The Generalization Ridge: Information Flow in Natural Language Generation
Ruidi Chang ⋅ Chunyuan Deng ⋅ Hanjie Chen
Transformer See, Transformer Do: Copying as an Intermediate Step in Learning Analogical Reasoning
Philipp Tobias Hellwig ⋅ Willem Zuidema ⋅ Claire E Stevenson ⋅ Martha Lewis
Barriers to Universal Reasoning with Transformers (and How to Overcome them)
Oliver Kraus ⋅ Yash Sarrof ⋅ Yuekun Yao ⋅ Alexander Koller ⋅ Michael Hahn
Algebraic Decomposition Theory for Transformer Length Generalization
Andy Yang ⋅ Blerta Veseli ⋅ Corentin Barloy ⋅ Michaël Cadilhac ⋅ Andreas Krebs ⋅ Charles Paperman ⋅ Howard Straubing ⋅ Michael Hahn
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
Cylon: Asynchronous Linear Attention
Alexander Waitz ⋅ William Hu ⋅ Benjamin F Spector ⋅ Atri Rudra ⋅ Christopher Re ⋅ Simran Arora
Switching Linear Attention
Hyun Dong Lee ⋅ Xavier Gonzalez ⋅ Nicolas Zucchet ⋅ E. Kelly Buchanan ⋅ Emily Fox ⋅ Scott Linderman
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
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
Faster Superword Tokenization
Craig Schmidt ⋅ Yuval Pinter ⋅ Chris Tanner
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
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
Smarter by the Moment: Environment-Driven Dynamic Policies for Continual LLM Improvement
Ting-Wei Chang ⋅ Po-Chun Chen ⋅ Hen-Hsen Huang ⋅ Hsin-Hsi Chen
PromptBridge: Cross-Model Prompt Transfer for Large Language Models
Yaxuan Wang ⋅ Quan Liu ⋅ Zhenting Wang ⋅ Zichao Li ⋅ Wei Wei ⋅ Yang Liu ⋅ Yujia Bao
Phonological Perception of Sign Language Models
Kayo Yin ⋅ Jessica Carter ⋅ Alex X Lu ⋅ Annemarie Kocab
Attribution Bias in Large Language Models
Eliza H Berman ⋅ Bella Chang ⋅ Daniel B Neill ⋅ Emily Black
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
Wired for Overconfidence: A Mechanistic Perspective on Inflated Verbalized Confidence in LLMs
Tianyi Zhao ⋅ Yinhan He ⋅ Wendy Zheng ⋅ Yujie Zhang ⋅ Chen Chen
Differentiable Faithfulness Alignment for Cross-Model Circuit Transfer
Shun Shao ⋅ Binxu Wang ⋅ Shay B Cohen ⋅ Anna Korhonen ⋅ Yonatan Belinkov
ADAG: Automatically Describing Attribution Graphs
Aryaman Arora ⋅ Zhengxuan Wu ⋅ Jacob Steinhardt ⋅ Sarah Schwettmann
Data Canvas: A Provenance-Guided Harness for Agentic Data Engineering
Zixuan Yi ⋅ Yuanming Shao ⋅ Shaun Wallace ⋅ Zachary Ives ⋅ Ryan Marcus
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
Recursive Agent Optimization
Apurva Gandhi ⋅ Satyaki Chakraborty ⋅ Xiangjun Wang ⋅ Aviral Kumar ⋅ Graham Neubig
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
SkillFoundry: Building Self-Evolving Agent Skill Libraries from Heterogeneous Scientific Resources
Shuaike Shen ⋅ Wenduo Cheng ⋅ Mingqian Ma ⋅ Alistair Turcan ⋅ Martin J Zhang ⋅ Jian Ma
SkillFlow: Scalable and Efficient Agent Skill Retrieval System
Fangzhou Li ⋅ Pagkratios Tagkopoulos ⋅ Ilias Tagkopoulos
CoSearch: Joint Training of Reasoning and Document Ranking via Reinforcement Learning for Agentic Search
Hansi Zeng ⋅ Liam Collins ⋅ Bhuvesh Kumar ⋅ Neil Shah ⋅ Hamed Zamani
Training Proactive and Personalized LLM Agents
Weiwei Sun ⋅ Xuhui Zhou ⋅ Weihua Du ⋅ Xingyao Wang ⋅ Sean Welleck ⋅ Graham Neubig ⋅ Maarten Sap ⋅ Yiming Yang
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
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
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
SIMMER: Benchmarking Latent Failures in LLM Executable Planning with a World Model
Xiaoxin Lu ⋅ Ranran Zhang ⋅ Rui Zhang
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
A Diagnostic Failure Taxonomy and Trajectory Critic for Data Agent Improvement
Suchen Liu ⋅ Yuanfeng SONG ⋅ Jun Gao ⋅ Xing Chen
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
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
TRIDENT: Benchmarking LLM Safety in Finance, Medicine, and Law
Zheng Hui ⋅ Yijiang R Dong ⋅ Ehsan Shareghi ⋅ Nigel Collier
Identity, Cooperation and Framing Effects within Groups of Real and Simulated Humans
Suhong Moon ⋅ Minwoo Kang ⋅ Joseph Suh ⋅ Mustafa Safdari ⋅ John Canny
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
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
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
The Illusion of Superposition? A Principled Analysis of Latent Thinking in Language Models
Michael Rizvi-Martel ⋅ Guillaume Rabusseau ⋅ Marius Mosbach
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
Semantic Structure of Feature Space in Large Language Models
Austin Kozlowski ⋅ Andrei Boutyline
LLM2Vec-Gen: Generative Embeddings from Large Language Models
Parishad BehnamGhader ⋅ Vaibhav Adlakha ⋅ Fabian D Schmidt ⋅ Nicolas Chapados ⋅ Marius Mosbach ⋅ Siva Reddy
SMETA-ZSL: Semantic Meta-Alignment for Zero-Shot Threat Classification
Ivan Montoya-Sanchez ⋅ Anantaa Kotal ⋅ Aritran Piplai
GRIP: Algorithm-Agnostic Machine Unlearning for Mixture-of-Experts via Geometric Router Constraints
Andy Zhu ⋅ Rongzhe Wei ⋅ Yupu Gu ⋅ Pan Li
Forgetting to Forget: Attention Sink as A Gateway for Backdooring LLM Unlearning
Bingqi Shang ⋅ Yiwei Chen ⋅ Yihua Zhang ⋅ Bingquan Shen ⋅ Sijia Liu
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
ContextLeak: Auditing Leakage in Private In-Context Learning Methods
Jacob Choi ⋅ Shuying Cao ⋅ Xingjian Dong ⋅ Amin Banayeeanzade ⋅ Wang Bill Zhu ⋅ Robin Jia ⋅ Sai Praneeth Karimireddy
Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes
Nan Chen ⋅ Zhouhao Yang ⋅ Soufiane Hayou
GLiGuard: Schema-Conditioned Classification for LLM Safeguard
Urchade Zaratiana ⋅ Mary Newhauser ⋅ George Hurn-Maloney ⋅ Ash Lewis
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
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
Understanding the Effects of Safety Unalignment on Large Language Models
John Halloran
Escaping the Nash Trap: Structural Estimation and Alignment of Strategic Reasoning in Large Language Models
Jiannan Xu ⋅ Yongkang Duan ⋅ Jane Jiang ⋅ Jiding Zhang
Diversifying Multiple Generative Agents by Aligning with Human Populations
Manh Hung Nguyen ⋅ Sebastian Tschiatschek ⋅ Adish Singla
Can Large Language Models Match Human Diversity in Educational Content Generation?
Mei Tan ⋅ Hyunji (Alex) Nam ⋅ Dorottya Demszky
The Garden of Forking Prompts: How Users Explore Narrative Space in Story Generation
Advait Deshmukh ⋅ Nora Benedict ⋅ Melanie Walsh ⋅ Maria Antoniak
Small Foundation Models of Human Cognition and Behaviour
Nick Oh ⋅ Fernand Gobet
Multilingual Prompt Localization for Agent-as-a-Judge: Language and Backbone Sensitivity in Requirement-Level Evaluation
Alhasan S Mahmood ⋅ Samir Abdaljalil ⋅ HASAN KURBAN
Actions Speak Louder than Words: Measuring Cross-Lingual Policy Retention in Tool-Using Agents
Sourabrata Mukherjee ⋅ Kalika Bali ⋅ Sunayana Sitaram
Multilingual Embedding Probes Fail to Generalize Across Learner Corpora
Laurits Lyngbaek ⋅ Ross D Kristensen-McLachlan
Lost in the Tower of Babel: The Adverse Effects of Incidental Multilingualism in LLMs
Anjishnu Mukherjee ⋅ Chutong Meng ⋅ Antonios Anastasopoulos
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
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
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
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
Towards Query-Agnostic RAG Evaluation via Query Coverage and Claim Verifiability
Jeonghwan Choi ⋅ Taewon Yun ⋅ Minjeong Ban ⋅ Gyeonghun Sun ⋅ Jae-Gil Lee ⋅ Hwanjun Song
OSCAR : Orchestrated Self-verification and Cross-path Refinement
Yash Shah ⋅ Abhijit Chakraborty ⋅ Naresh Kumar Devulapally ⋅ Vishnu S Lokhande ⋅ Vivek Gupta
Superficial Beliefs in LLM Decision-Making
Gabriel Freedman ⋅ Francesca Toni
SALA: Syntax-Aware Logit Adjustment for Open-Ended Text Generation
Ting-Ruen Wei ⋅ Hsin-Tai Wu ⋅ Yi Fang
Where Does the Relative Clause Attach? Probing Prosodic and Semantic Sensitivity in Large Audio Language Models
Jingying Hu ⋅ Elsayed Issa
Shared Circuits for Shared Grammar: Tracing Subject-Verb Agreement Across Languages
Isabella Gidi ⋅ Antonio Almudévar ⋅ Core Francisco Park ⋅ Naomi Saphra ⋅ Ricard Marxer
Gradual Code-Switching as Inference-Time Cross-Lingual Representational Alignment for LLMs
Haneul Yoo ⋅ Jiho Jin ⋅ Kyunghyun Cho ⋅ Alice Oh
Verb-ICL: Rethinking In-Context Learning for Structured Prediction
Fan Bai ⋅ Hengshuo Miao ⋅ Sanjit S Batra ⋅ Hamid Reza Hassanzadeh ⋅ Ardavan Saeedi ⋅ Mark Dredze
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
A Unified Model and Document Representation for On-Device Retrieval-Augmented Generation
Julian Killingback ⋅ Ofer Meshi ⋅ Henry Li ⋅ Hamed Zamani ⋅ Maryam Karimzadehgan
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
What Makes Retrieval Work for Pedagogical Dialogue Annotation? Indexing Granularity over Retriever Adaptation
Jinsook Lee ⋅ Kirk Vanacore ⋅ Zhuqian Zhou ⋅ Bakhtawar Ahtisham ⋅ Rene F Kizilcec
KT4EQG: Personalized Exercise Question Generation via Knowledge Tracing
Xinyi Gao ⋅ Qiucheng Wu ⋅ Lu Ding ⋅ Vera Liao ⋅ Kaizhi Qian ⋅ Ying Xu ⋅ Shiyu Chang ⋅ Yang Zhang
SERUM: State Extraction and Refinement for User Modeling
Andy J Phu ⋅ Karin De Langis ⋅ James Mooney ⋅ Khanh Chi Le ⋅ Dongyeop Kang
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
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
Explainable AI-Generated Image Detection RewardBench
Michael Yang ⋅ Shijian Deng ⋅ William T Doan ⋅ Kai Wang ⋅ Tianyu Yang ⋅ Harsh Singh ⋅ Yapeng Tian
When Do LLMs Admit Their Mistakes? Understanding The Role Of Model Belief In Retraction
Yuqing Yang ⋅ Robin Jia
When to Call an Apple Red: Humans Follow Introspective Rules, VLMs Don’t
Jonathan Nemitz ⋅ Carsten Eickhoff ⋅ Jessy Li ⋅ Kyle Mahowald ⋅ Michal Golovanevsky ⋅ William Rudman
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