Microsoft at ICLR 2026

DoVer: Intervention-Driven Auto Debugging for LLM Multi-Agent Systems

Ming-Jie Ma, Jue Zhang, Fangkai Yang, Yu Kang, Qingwei Lin, S. Rajmohan, Dongmei Zhang

villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models

Xiaoyu Chen, Hangxing Wei, Pushi Zhang, Chuheng Zhang, Kaixin Wang, Yanjiang Guo, Rushuai Yang, Yucen Wang, Xinquan Xiao, Li Zhao, Jianyu Chen, Jiang Bian

Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR

Xiao Liang, Zhong-zhi Li, Yeyun Gong, Yelong Shen, Yingchun Wu, Zhijiang Guo, Weizhu Chen

LLMs Get Lost In Multi-Turn Conversation

Philippe Laban, Hiroaki Hayashi, Yingbo Zhou, Jennifer Neville

MMedAgent-RL: Optimizing Multi-Agent Collaboration for Multimodal Medical Reasoning

Peng Xia, Jinglu Wang, Yibo Peng, Kaide Zeng, Xian Wu, Xiangru Tang, Hongtu Zhu, Yun Li, Shujie Liu, Yan Lu, Huaxiu Yao

SysMoBench: Evaluating AI on Formally Modeling Complex Real-World Systems

Qian Cheng, Ruize Tang, Emilie Ma, Finn Hackett, Peiyang He, Yiming Su, Ivan Beschastnikh, Yu Huang, Xiaoxing Ma, Tianyin Xu

Towards Efficient Optimizer Design for LLM via Structured Fisher Approximation with a Low-Rank Extension

Wenbo Gong, Meyer Scetbon, Chao Ma, Edward Meeds

Beyond Length: Quantifying Long-Range Information for Long-Context LLM Pretraining Data

Haoran Deng, Yingyu Lin, Zhenghao Lin, Xiao Liu, Yizhou Sun, Yian Ma, Yeyun Gong

Sequences of Logits Reveal the Low Rank Structure of Language Models

Noah Golowich, Allen Liu, Abhishek Shetty

Hyperspherical Latents Improve Continuous-Token Autoregressive Generation

Guolin Ke, Hui Xue

AdaReasoner: Dynamic Tool Orchestration for Iterative Visual Reasoning

Mingyang Song, Haoyu Sun, Jiawei Gu, Linjie Li, Luxin Xu, Ranjay Krishna, Yu Cheng

Text2Arch: A Dataset for Generating Scientific Architecture Diagrams from Natural Language Descriptions

Shivank Garg, Sankalp Mittal, Manish Gupta

GOT-Edit: Geometry-Aware Generic Object Tracking via Online Model Editing

Shih-Fang Chen, Jun-Cheng Chen, I-Hong Jhuo, Yen-Yu Lin

Optimizing Agent Planning for Security and Autonomy

Aashish Kolluri, Rishi Sharma, Manuel Costa, Boris Köpf, Tobias Niessen, Mark Russinovich, Shruti Tople, Santiago Zanella-Béguelin

AdAEM: An Adaptively and Automated Extensible Measurement of LLMs' Value Difference

Shitong Duan, Xiaoyuan Yi, Peng Zhang, Dongkuan Xu, Jing Yao, Tun Lu, Ning Gu, Xing Xie

BiasBusters: Uncovering and Mitigating Tool Selection Bias in Large Language Models

Thierry Blankenstein, Jialin Yu, Zixuan Li, Vassilis Plachouras, Sunando Sengupta, Philip H. S. Torr, Yarin Gal, Alasdair Paren, Adel Bibi

EEPO: Exploration-Enhanced Policy Optimization via Sample-Then-Forget

Liang Chen, Xueting Han, Qizhou Wang, Bo Han, Jing Bai, Hinrich Schutze, Kam-Fai Wong

ReVeal: Self-Evolving Code Agents via Reliable Self-Verification

Yiyang Jin, Kunzhao Xu, Hang Li, Xueting Han, Yanmin Zhou, Cheng Li, Jing Bai

Learning to summarize user information for personalized reinforcement learning from human feedback

Hyunji Nam, Yanming Wan, Mickel Liu, Peter Ahnn, Jianxun Lian, Natasha Jaques

Improving Diffusion Models for Class-imbalanced Training Data via Capacity Manipulation

Feng Hong, Jiangchao Yao, Yifei Shen, Dongsheng Li, Ya Zhang, Yanfeng Wang

Revela: Dense Retriever Learning via Language Modeling

Fengyu Cai, Tong Chen, Xinran Zhao, Sihao Chen, Hongming Zhang, Sherry Tongshuang Wu, Iryna Gurevych, Heinz Koeppl

Gistify! Codebase-Level Understanding via Runtime Execution

Hyunji Lee, Minseon Kim, Chinmay Singh, Matheus Pereira, Atharv Sonwane, Isadora White, Elias Stengel-Eskin, Mohit Bansal, Zhengyan Shi, Alessandro Sordoni, Marc-Alexandre Côté, Xingdi Yuan, Lucas Caccia

LLM Pretraining with Continuous Concepts

Jihoon Tack, Jack Lanchantin, Jane Yu, Andrew Cohen, Ilia Kulikov, Janice Lan, Shibo Hao, Yuandong Tian, Jason Weston, Xian Li

ProRe: A Proactive Reward System for GUI Agents via Reasoner-Actor Collaboration

Gaole Dai, Shiqi Jiang, Ting Cao, Yuqing Yang, Yuanchun Li, Rui Tan, Mo Li, Lili Qiu

VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models

Lingjie Jiang, Shaohan Huang, Xun Wu, Yixia Li, Dongdong Zhang, Furu Wei

STITCH: Simultaneous Thinking and Talking with Chunked Reasoning for Spoken Language Models

Cheng-Han Chiang, Xiaofei Wang, Linjie Li, Chung-Ching Lin, Kevin Lin, Shujie Liu, Zhendong Wang, Zhengyuan Yang, Hung-yi Lee, Lijuan Wang

Characterizing Deep Research: A Benchmark and Formal Definition

Abhinav Java, Ashmit Khandelwal, S. Midigeshi, Aaron L Halfaker, Amit Deshpande, Navin Goyal, Ankur Gupta, Nagarajan Natarajan, Amit Sharma

Taming Imperfect Process Verifiers: A Sampling Perspective on Backtracking

Dhruv Rohatgi, Abhishek Shetty, Donya Saless, Yuchen Li, Ankur Moitra, Andrej Risteski, Dylan Foster

SwiReasoning: Switch-Thinking in Latent and Explicit for Pareto-Superior Reasoning LLMs

Dachuan Shi, Abedelkadir Asi, Keying Li, Xiangchi Yuan, Leyan Pan, Wenke Lee, Wen Xiao

Forward-Learned Discrete Diffusion: Learning how to noise to denoise faster

Grigory Bartosh, Teodora Pandeva, Sushrut Karmalkar, Javier Zazo

Actions Speak Louder than Prompts: A Large-Scale Study of LLMs for Graph Inference

Ben Finkelshtein, Silviu Cucerzan, Sujay Kumar Jauhar, Ryen W. White

Seeing Across Views: Benchmarking Spatial Reasoning of Vision-Language Models in Robotic Scenes

Zhiyuan Feng, Zhaolu Kang, Qijie Wang, Zhiying Du, Jiongrui Yan, Shubin Shi, Chengbo Yuan, Huizhi Liang, Yu Deng, Qixiu Li, Rushuai Yang, Arctanx An, Leqi Zheng, Weijie Wang, Shawn Chen, Sicheng Xu, Yaobo Liang, Jiaolong Yang, Baining Guo

VeriTrail: Closed-Domain Hallucination Detection with Traceability

Dasha Metropolitansky, Jonathan Larson

ELEPHANT: Measuring and understanding social sycophancy in LLMs

Myra Cheng, Sunny Yu, Cinoo Lee, Pranav Khadpe, Lujain Ibrahim, Dan Jurafsky

Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness

Erfan Shayegani, Keegan Hines, Yue Dong, Nael B. Abu-Ghazaleh, Roman Lutz, Spencer Whitehead, Vidhisha Balachandran, Besmira Nushi, Vibhav Vineet

Exploring Interpretability for Visual Prompt Tuning with Hierarchical Concepts

Yubin Wang, Xinyang Jiang, De Cheng, Xiangqian Zhao, Zilong Wang, Dongsheng Li, Cairong Zhao

Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective

Siwei Wang, Yifei Shen, Haoran Sun, Shi Feng, Shang-Hua Teng, Li Dong, Yaru Hao, Wei Chen

Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs

Xumeng Wen, Zihan Liu, Shun Zheng, Zhijian Xu, Shengyu Ye, Zhirong Wu, Xiao Liang, Yang Wang, Junjie Li, Ziming Miao, Jiang Bian, Mao Yang

EmotionThinker: Prosody-Aware Reinforcement Learning for Explainable Speech Emotion Reasoning

Dingdong Wang, Shujie Liu, Tianhua Zhang, Youjun Chen, Jinyu Li, Helen M. Meng

Token-Importance Guided Direct Preference Optimization

Ning Yang, Hai Lin, Yibo Liu, Baoliang Tian, Guoqing Liu, Haijun Zhang

Sequences of Logits Reveal the Low Rank Structure of Language Models

Noah Golowich, Allen Liu, Abhishek Shetty

LLMs Get Lost In Multi-Turn Conversation

Philippe Laban, Hiroaki Hayashi, Yingbo Zhou, Jennifer Neville

LoongRL: Reinforcement Learning for Advanced Reasoning over Long Contexts

Siyuan Wang, Gaokai Zhang, L. Zhang, Ning Shang, Fan Yang, Dongyao Chen, Mao Yang

The Coverage Principle: How Pre-Training Enables Post-Training

Fan Chen, Audrey Huang, Noah Golowich, Sadhika Malladi, Adam Block, Jordan T. Ash, Akshay Krishnamurthy, Akshay Krishnamurthy, Dylan J. Foster

AdAEM: An Adaptively and Automated Extensible Measurement of LLMs' Value Difference

Shitong Duan, Xiaoyuan Yi, Peng Zhang, Dongkuan Xu, Jing Yao, Tun Lu, Ning Gu, Xing Xie

Actions Speak Louder than Prompts: A Large-Scale Study of LLMs for Graph Inference

Ben Finkelshtein, Silviu Cucerzan, Sujay Kumar Jauhar, Ryen W. White

TwinVLA: Data-Efficient Bimanual Manipulation with Twin Single-Arm Vision-Language-Action Models

Hokyun Im, Euijin Jeong, Andrey Kolobov, Jianlong Fu, Youngwoon Lee

EgoBrain: Synergizing Minds and Eyes For Human Action Understanding

Nie Lin, Yansen Wang, Dongqi Han, Weibang Jiang, Jingyuan Li, Ryosuke Furuta, Yoichi Sato, Dongsheng Li

When MLLMs Meet Compression Distortion: A Coding Paradigm Tailored to MLLMs

Jinming Liu, Zhaoyang Jia, Jiahao Li, Bin Li, Xin Jin, Wenjun Zeng, Yan Lu

YuE: Scaling Open Foundation Models for Long-Form Music Generation

Ruibin Yuan, Hanfeng Lin, Shuyue Guo, Ge Zhang, Jiahao Pan, Yongyi Zang, Haohe Liu, Yiming Liang, Wenye Ma, Xingjian Du, Xinrun Du, Zhen Ye, Tianyu Zheng, Yi Ma, Minghao Liu, Zeyue Tian, Ziya Zhou, Liumeng Xue, Xingwei Qu, Yizhi Li, Shangda Wu, Tianhao Shen, Ziyang Ma, Junlin Zhan, Chunhui Wang, Yatian Wang, Xiao-Qian Chi, Xinyue Zhang, Zhen Yang, Xiangzhou Wang, Shan-Ling Liu, Ling Mei, Pengfei Li, Junjie Wang, Jianwei Yu, Guojian Pang, Xu Li, Zihao Wang, Xiaohuan Zhou, Lijun Yu, Emmanouil Benetos, Yong Chen, Cheng-Ju Lin, Xie Chen, Gus G. Xia, Zhaoxiang Zhang, Chao Zhang, Wenhu Chen, Xinyu Zhou, Xipeng Qiu, R. Dannenberg, Jia-Hua Liu, Jian Yang, Wenhao Huang, Wei Xue, Xu Tan, Yi-Ting Guo

YoNoSplat: You Only Need One Model for Feedforward 3D Gaussian Splatting

Botao Ye, Boqi Chen, Haofei Xu, Dániel Baráth, Marc Pollefeys

VidGuard-R1: AI-Generated Video Detection and Explanation via Reasoning MLLMs and RL

Kyoungjun Park, Yifan Yang, Juheon Yi, Shicheng Zheng, Yifei Shen, Dongqi Han, Caihua Shan, Muhammad Muaz, Lili Qiu

Semantic Visual Anomaly Detection and Reasoning in AI-Generated Images

Chuangchuang Tan, Xiang Ming, Jinglu Wang, Renshuai Tao, Bin Li, Yunchao Wei, Yao Zhao, Yan Lu

Beyond Membership: Limitations of Add/Remove Adjacency in Differential Privacy

Gauri Pradhan, Joonas Jälkö, Santiago Zanella-Béguelin, Antti Honkela

Hey, That's My Model! Introducing Chain & Hash, An LLM Fingerprinting Technique

Mark Russinovich, Ahmed Salem, Yanan Cai

SEMA: Simple yet Effective Learning for Multi-Turn Jailbreak Attacks

Mingqian Feng, Xiaodong Liu, Weiwei Yang, Jialin Song, Xuekai Zhu, Chenliang Xu, Jianfeng Gao

Pretrain Value, Not Reward: Decoupled Value Policy Optimization

Chenghua Huang, Lu Wang, Fangkai Yang, Pu Zhao, Zhixu Li, Qingwei Lin 林庆维, Dongmei Zhang, S. Rajmohan, Qi Zhang

NI Sampling: Accelerating Discrete Diffusion Sampling by Token Order Optimization

Enshu Liu, Xuefei Ning, Yu Wang, Zinan Lin

The Markovian Thinker

Milad Aghajohari, Kamran Chitsaz, Amirhossein Kazemnejad, Sarath Chandar, Alessandro Sordoni, Aaron C. Courville, Siva Reddy

VibeVoice: Expressive Podcast Generation with Next-Token Diffusion

Zhiliang Peng, Jianwei Yu, Wenhui Wang, Yaoyao Chang, Yutao Sun, Li Dong, Yi Zhu, Weijiang Xu, Hangbo Bao, Zehua Wang, Shaohan Huang, Yan Xia, Furu Wei

PixelCraft: A Multi-Agent System for High-Fidelity Visual Reasoning on Structured Images

Shuoshuo Zhang, Zijian Li, Yizhen Zhang, Jingjing Fu, Lei Song, Jiang Bian, Jun Zhang, Yujiu Yang, Rui Wang

MetaMuse: Algorithm Generation via Creative Ideation

Ruiying Ma, Chieh-Jan Mike Liang, Yanjie Gao, Francis Y. Yan

Improving Code Localization with Repository Memory

Boshi Wang, Weijian Xu, Yunsheng Li, Mei Gao, Yujia Xie, Huan Sun, Dongdong Chen

How Far Are LLMs from Professional Poker Players? Revisiting Game-Theoretic Reasoning with Agentic Tool Use

Min Lin, Enyan Dai, Hui Liu, Xianfeng Tang, Yuliang Yan, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Fali Wang, Hongcheng Gao, Chen Luo, Xiang Zhang, Qianyu He, Suhang Wang

SeerAttention-R: Sparse Attention Adaptation for Long Reasoning

Yizhao Gao, Shuming Guo, Shijie Cao, Yuqing Xia, Yu Cheng, Lei Wang, Lingxiao Ma, Yutao Sun, Tianzhu Ye, Li Dong, Hayden Kwok-Hay So, Yu Hua, Ting Cao, Fan Yang, Mao Yang

Do Not Let Low-Probability Tokens Over-Dominate in RL for LLMs

Zhihe Yang, Xufang Luo, Zilong Wang, Dongqi Han, Zhiyuan He, Dongsheng Li, Yunjian Xu

Understanding the Mixture-of-Experts with Nadaraya-Watson Kernel

Chuanyang Zheng, Jiankai Sun, Yihang Gao, Enze Xie, Yuehao Wang, Peihao Wang, Ting Xu, Matthew Chang, Liliang Ren, Jingyao Li, Jing Xiong, Kashif Rasul, Mac Schwager, Anderson Schneider, Zhangyang Wang, Yuriy Nevmyvaka

Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

Qizheng Zhang, Changran Hu, Shubhangi Upasani, Boyuan Ma, Fenglu Hong, V. Kamanuru, Jay Rainton, Chen Wu, Mengmeng Ji, Hanchen Li, Urmish Thakker, James Zou, K. Olukotun

FilMaster: Bridging Cinematic Principles and Generative AI for Automated Film Generation

Kaiyi Huang, Yukun Huang, Xintao Wang, Zinan Lin, Xuefei Ning, Pengfei Wan, Di Zhang, Yu Wang, Xihui Liu

Welfarist Formulations for Diverse Similarity Search

Siddharth Barman, Nirjhar Das, Shivam Gupta, Kiran Shiragur

FlowRL: Matching Reward Distributions for LLM Reasoning

Xuekai Zhu, Daixuan Cheng, Dinghuai Zhang, Hengli Li, Kaiyan Zhang, Che Jiang, Youbang Sun, Ermo Hua, Yuxin Zuo, Xingtai Lv, Qizheng Zhang, Lin Chen, Fanghao Shao, Bo Xue, Yunchong Song, Zhenjie Yang, Ganqu Cui, Ning Ding, Jianfeng Gao, Xiaodong Liu, Bowen Zhou, Hongyuan Mei, Zhouhan Lin

Wavelet Predictive Representations for Non-Stationary Reinforcement Learning

Min Wang, Xin Li, Ye He, Yao-Hui Li, Hasnaa Bennis, Riashat Islam, Mingzhong Wang

Flipping the Dialogue: Training and Evaluating User Language Models

Tarek Naous, Philippe Laban, Wei Xu, Jennifer Neville

Dyna-Mind: Learning to Simulate from Experience for Better AI Agents

Xiao Yu, Baolin Peng, Michel Galley, Hao Cheng, Qianhui Wu, Janardhan Kulkarni, Suman Nath, Zhou Yu, Jianfeng Gao

Trade in Minutes! Rationality-Driven Agentic System for Quantitative Financial Trading

Zifan Song, Kaitao Song, Guosheng Hu, Ding Qi, Junyao Gao, Xiaohua Wang, Dongsheng Li, Cairong Zhao

Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning

Vaishnavi Shrivastava, Ahmed Awadallah, Vidhisha Balachandran, Shivam Garg, Harkirat Behl, Dimitris Papailiopoulos

Joint Distribution-Informed Shapley Values for Sparse Counterfactual Explanations

Lei You, Yijun Bian, Lele Cao

Riemannian Federated Learning via Averaging Gradient Stream

Zhenwei Huang, Wen Huang, Pratik Jawanpuria, Bamdev Mishra

COSMOS: A Hybrid Adaptive Optimizer for Memory-Efficient Training of LLMs

Liming Liu, Zhenghao Xu, Zixuan Zhang, Hao Kang, Zichong Li, Chen Liang, Weizhu Chen, Tuo Zhao

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning

Ming-Kuan Wu, Lu Wang, Pu Zhao, Fangkai Yang, Jianjin Zhang, Jianfeng Liu, Yuefeng Zhan, Weihao Han, Hao Sun, Jiayi Ji, Xiaoshuai Sun, Qingwei Lin, Weiwei Deng, Dongmei Zhang, Feng Sun, Qi Zhang, Rongrong Ji

EdiVal-Agent: An Object-Centric Framework for Automated, Fine-Grained Evaluation of Multi-Turn Editing

Tianyu Chen, Yasi Zhang, Zhi Zhang, Peiyu Yu, Shu Wang, Zhendong Wang, K. Lin, Xiaofei Wang, Zhengyuan Yang, Linjie Li, Chung-Ching Lin, Jianwen Xie, Oscar Leong, Lijuan Wang, Y. Wu, Mingyuan Zhou

Align to Misalign: Automatic LLM Jailbreak with Meta-Optimized LLM Judges

Hamin Koo, Minseon Kim, Jaehyung Kim

Temperature as a Meta-Policy: Adaptive Temperature in LLM Reinforcement Learning

Haoran Dang, Cuiling Lan, Hai Wan, Xibin Zhao, Yan Lu

Combinatorial Rising Bandits

Seockbean Song, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok

Text2Grad: Reinforcement Learning from Natural Language Feedback

Hanyang Wang, Lu Wang, Chaoyun Zhang, Tianjun Mao, Si Qin, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang

RPG: A Repository Planning Graph for Unified and Scalable Codebase Generation

Jane Luo, Xin Zhang, Steven Liu, Jie Wu, Yiming Huang, Yangyu Huang, Chengyu Yin, Ying Xin, Jianfeng Liu, Yuefeng Zhan, Hao Sun, Qi Chen, Scarlett Li, Mao Yang

Generalization of RLVR Using Causal Reasoning as a Testbed

Brian Lu, Hongyu Zhao, Shuo Sun, Hao Peng, Rui Ding, Hongyuan Mei

UnLoc: Leveraging Depth Uncertainties for Floorplan Localization

Matthias Wüest, Francis Engelmann, Ondrej Miksik, Marc Pollefeys, Dániel Baráth

FlexiCodec: A Dynamic Neural Audio Codec for Low Frame Rates

Jiaqi Li, Yao Qian, Yuxuan Hu, Leying Zhang, Xiaofei Wang, Heng Lu, Manthan Thakker, Jinyu Li, Sheng Zhao, Zhizheng Wu

Learning to Generate Unit Test via Adversarial Reinforcement Learning

Dongjun Lee, Changho Hwang, Kimin Lee

AESCoder: Code Aesthetics with Agentic Reward Feedback

Lingjie Jiang, Bang Xiao, Shaohan Huang, Tengchao Lv, Yupan Huang, Xun Wu, Lei Cui, Furu Wei

SpaceControl: Introducing Test-Time Spatial Control to 3D Generative Modeling

Elisabetta Fedele, Francis Engelmann, Ian Huang, O. Litany, Marc Pollefeys, Leonidas J. Guibas

TrustGen: A Platform of Dynamic Benchmarking on the Trustworthiness of Generative Foundation Models

TrustGen Team, Jianfeng Gao

Understanding and Improving Shampoo and SOAP via Kullback-Leibler Minimization

Wu Lin, Scott C. Lowe, Felix Dangel, Runa Eschenhagen, Zikun Xu, Roger B. Grosse

WINA: Weight Informed Neuron Activation for Accelerating Large Language Model Inference

Sihan Chen, Dan Zhao, Jongwoo Ko, Colby R. Banbury, Huiping Zhuang, Luming Liang, Tianyi Chen

Holdout-Loss-Based Data Selection for LLM Finetuning via In-Context Learning

Ling Zhang, Xianliang Yang, Juwon Yu, Park Cheonyoung, Lei Song, Jiang Bian

Parallel Sampling from Masked Diffusion Models via Conditional Independence Testing

Iskander Azangulov, Teodora Pandeva, Niranjani Prasad, Javier Zazo, Sushrut Karmalkar

Is In-Context Learning Learning?

Adrian de Wynter

CodeSense: a Real-World Benchmark and Dataset for Code Semantic Reasoning

Monoshi Kumar Roy, Simin Chen, Benjamin Steenhoek, Jinjun Peng, Gail E. Kaiser, Baishakhi Ray, Wei Le

Harnessing Temporal Databases for Systematic Evaluation of Factual Time-Sensitive Question-Answering in Large Language Models

Soyeon Kim, Jindong Wang, Xing Xie, Steven Euijong Whang

Synergizing Understanding and Generation with Interleaved Analyzing-Drafting Thinking

Shengqiong Wu, Bobo Li, Xinkai Wang, Xiangtai Li, Lei Cui, Furu Wei, Shuicheng YAN, Hao Fei, Tat-Seng Chua

Breaking and Fixing Defenses Against Control-Flow Hijacking in Multi-Agent Systems

Rishi Jha, Harold Triedman, Justin Wagle, Vitaly Shmatikov

Tracing the Traces: Latent Temporal Signals for Efficient and Accurate Reasoning

Martina G. Vilas, Safoora Yousefi, Besmira Nushi, Eric Horvitz, Vidhisha Balachandran

Misaligned Roles, Misplaced Images: Structural Input Perturbations Expose Multimodal Alignment Blind Spots

Erfan Shayegani, G. M. Shahariar, Sara Abdali, Lei Yu, Nael B. Abu-Ghazaleh, Yue Dong

In-Context Compositional Q-Learning for Offline Reinforcement Learning

Qiushui Xu, Yuhao Huang, Yushu Jiang, Lei Song, Jinyu Wang, Wenliang Zheng, Jiang Bian

Representation-Based Exploration for Language Models: From Test-Time to Post-Training

Jens Tuyls, Dylan Foster, Akshay Krishnamurthy, Jordan Ash

Training Large Reasoning Models Efficiently via Progressive Thought Encoding

Zeliang Zhang, Xiaodong Liu, Hao Cheng, Hao Sun, Chenliang Xu, Jianfeng Gao

EvoTest: Evolutionary Test-Time Learning for Self-Improving Agentic Systems

Yufei He, Juncheng Liu, Yue Liu, Yibo Li, Tri Cao, Zhiyuan Hu, Xinxing Xu, Bryan Hooi

Geometric-Mean Policy Optimization

Yuzhong Zhao, Yue Liu, Junpeng Liu, Jingye Chen, Xun Wu, Yaru Hao, Tengchao Lv, Shaohan Huang, Lei Cui, Qixiang Ye, Fang Wan, Furu Wei

Score Distillation Beyond Acceleration: Generative Modeling from Corrupted Data

Yasi Zhang, Tianyu Chen, Zhendong Wang, Yingnian Wu, Mingyuan Zhou, Oscar Leong

Quotient-Space Diffusion Model

Yixian Xu, Yusong Wang, Shengjie Luo, Kaiyuan Gao, Tianyu He, Di He, Chang Liu