background pattern gradient: blue to purple to orange

April 23, 2026 – April 27, 2026

Microsoft at ICLR 2026

位置: Rio de Janeiro, Brazil

出版物

表示方法:

- Algorithm Generation via Creative Ideation
  
  Ruiying Ma, Chieh-Jan Mike Liang, Yanjie Gao, Francis Y. Yan
  
  ICLR (International Conference on Learning Representations) | April 2026
  
  Preprint
- 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
  
  ICLR 2026 | April 2026
  
  Publication
- Forward-Learned Discrete Diffusion: Learning how to noise to denoise faster
  
  Grigory Bartosh, Teodora Pandeva, Sushrut Karmalkar, Javier Zazo
  
  ICLR 2026 | April 2026
  
  Publication
- Parallel Sampling from Masked Diffusion Models via Conditional Independence Testing
  
  Iskander Azangulov, Teodora Pandeva, Niranjani Prasad, Javier Zazo, Sushrut Karmalkar
  
  ICLR 2026 | April 2026
  
  DOI Publication
- 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
  
  ICLR 2026 | April 2026
  
  Publication Publication
- Learning to Generate Unit Test via Adversarial Reinforcement Learning
  
  Dongjun Lee, Changho Hwang, Kimin Lee
  
  ICLR 2026 | April 2026
  
  Preprint
- 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
  
  ICLR 2026 | February 2026
  
  Publication
- From Easy to Hard++: Promoting Differentially Private Image Synthesis Through Spatial-Frequency Curriculum
  
  Chen Gong, Kecen Li, Zinan Lin, Tianhao Wang
  
  Usenix Security 2026 | February 2026
  
  Publication プロジェクト
- NI Sampling: Accelerating Discrete Diffusion Sampling by Token Order Optimization
  
  Enshu Liu, Xuefei Ning, Yu Wang, Zinan Lin
  
  ICLR 2026 | February 2026
  
  Publication
- PE-SGD: Differentially Private Deep Learning via Evolution of Gradient Subspace for Text
  
  Tianyuan Zou, Zinan Lin, Sivakanth Gopi, Yang Liu, Ya-Qin Zhang, Robert Sim, Xin Deng, Sergey Yekhanin
  
  ICLR 2026 | February 2026
  
  Publication プロジェクト
- Optimizing Agent Planning for Security and Autonomy
  
  Aashish Kolluri, Rishi Sharma, Manuel Costa, Boris Köpf, Tobias Niessen, Mark Russinovich, Shruti Tople, Santiago Zanella-Béguelin
  
  ICLR 2026 | February 2026
  
  Publication Preprint プロジェクト
- GOT-Edit: Geometry-Aware Generic Object Tracking via Online Model Editing
  
  Shih-Fang Chen, Jun-Cheng Chen, I-Hong Jhuo, Yen-Yu Lin
  
  ICLR 2026 | February 2026
  
  Publication
- Welfarist Formulations for Diverse Similarity Search
  
  Siddharth Barman, Nirjhar Das, Shivam Gupta, Kirankumar Shiragur
  
  ICLR 2026 | February 2026
  
  Publication
- Horizon Imagination: Efficient On-Policy Training in Diffusion World Models
  
  Lior Cohen, Ofir Nabati, Kaixin Wang, Navdeep Kumar, Shie Mannor
  
  ICLR 2026 | February 2026
  
  Publication
- SEMA: Simple yet Effective Learning for Multi-Turn Jailbreak Attacks
  
  Mingqian Feng, Xiaodong Liu, Weiwei Yang, Jialin Song, Xuekai Zhu, Chenliang Xu, Jianfeng Gao
  
  ICLR 2026 | February 2026
  
  Publication
- Score Distillation Beyond Acceleration: Generative Modeling from Corrupted Data
  
  Yasi Zhang, Tianyu Chen, Zhendong Wang, Yingnian Wu, Mingyuan Zhou, Oscar Leong
  
  ICLR 2026 | February 2026
  
  Publication Publication
- 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
  
  ICLR 2026 | February 2026
  
  Publication
- 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
  
  ICLR 2026 | February 2026
  
  Publication
- Text2Arch: A Dataset for Generating Scientific Architecture Diagrams from Natural Language Descriptions
  
  Shivank Garg, Sankalp Mittal, Manish Gupta
  
  ICLR 2026 | February 2026
  
  Publication
- Training Large Reasoning Models Efficiently via Progressive Thought Encoding
  
  Zeliang Zhang, Xiaodong Liu, Hao Cheng, Hao Sun, Chenliang Xu, Jianfeng Gao
  
  ICLR 2026 | February 2026
  
  Publication
- TrustGen: A Platform of Dynamic Benchmarking on the Trustworthiness of Generative Foundation Models
  
  TrustGen Team, Jianfeng Gao
  
  ICLR 2026 | February 2026
  
  Publication
- 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
  
  ICLR 2026 | February 2026
  
  Publication
- 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
  
  ICLR 2026 | January 2026
  
  Publication
- From Abstract to Contextual: What LLMs Still Cannot Do in Mathematics
  
  Bowen Cao, Dongdong Zhang, Yixia Li, Junpeng Liu, Shijue Huang, Chufan Shi, Hongyuan Lu, Yaokang Wu, Guanhua Chen, Wai Lam, Furu Wei
  
  ICLR 2026 | January 2026
  
  Publication
- AdaReasoner: Dynamic Tool Orchestration for Iterative Visual Reasoning
  
  Mingyang Song, Haoyu Sun, Jiawei Gu, Linjie Li, Luxin Xu, Ranjay Krishna, Yu Cheng
  
  ICLR 2026 | January 2026
  
  Publication
- EmotionThinker: Prosody-Aware Reinforcement Learning for Explainable Speech Emotion Reasoning
  
  Dingdong Wang, Shujie Liu, Tianhua Zhang, Youjun Chen, Jinyu Li, Helen M. Meng
  
  ICLR 2026 | January 2026
  
  Publication
- Dichotomous Diffusion Policy Optimization
  
  Ruiming Liang, Yinan Zheng, Kexin Zheng, Tianyi Tan, Jianxiong Li, Liyuan Mao, Zhihao Wang, Guang Chen, Hangjun Ye, Jingjing Liu, Jinqiao Wang, Xianyuan Zhan
  
  ICLR 2026 | December 2025
  
  DOI Publication
- Generalization of RLVR Using Causal Reasoning as a Testbed
  
  Brian Lu, Hongyu Zhao, Shuo Sun, Hao Peng, Rui Ding, Hongyuan Mei
  
  ICLR 2026 | December 2025
  
  Publication
- 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
  
  ICLR 2026 | December 2025
  
  DOI Publication
- SpaceControl: Introducing Test-Time Spatial Control to 3D Generative Modeling
  
  Elisabetta Fedele, Francis Engelmann, Ian Huang, O. Litany, Marc Pollefeys, Leonidas J. Guibas
  
  ICLR 2026 | December 2025
  
  Publication
- Beyond Membership: Limitations of Add/Remove Adjacency in Differential Privacy
  
  Gauri Pradhan, Joonas Jälkö, Santiago Zanella-Béguelin, Antti Honkela
  
  ICLR 2026 | November 2025
  
  DOI Publication
- YoNoSplat: You Only Need One Model for Feedforward 3D Gaussian Splatting
  
  Botao Ye, Boqi Chen, Haofei Xu, Dániel Baráth, Marc Pollefeys
  
  ICLR 2026 | November 2025
  
  Publication
- TwinVLA: Data-Efficient Bimanual Manipulation with Twin Single-Arm Vision-Language-Action Models
  
  Hokyun Im, Euijin Jeong, Andrey Kolobov, Jianlong Fu, Youngwoon Lee
  
  ICLR 2026 | November 2025
  
  Publication
- Align to Misalign: Automatic LLM Jailbreak with Meta-Optimized LLM Judges
  
  Hamin Koo, Minseon Kim, Jaehyung Kim
  
  ICLR 2026 | November 2025
  
  DOI Publication Publication
- 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
  
  ICLR 2026 | October 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | October 2025
  
  DOI Publication
- Sequences of Logits Reveal the Low Rank Structure of Language Models
  
  Noah Golowich, Allen Liu, Abhishek Shetty
  
  ICLR 2026 | October 2025
  
  Publication
- AESCoder: Code Aesthetics with Agentic Reward Feedback
  
  Lingjie Jiang, Bang Xiao, Shaohan Huang, Tengchao Lv, Yupan Huang, Xun Wu, Lei Cui, Furu Wei
  
  ICLR 2026 | October 2025
  
  DOI Publication Publication
- LoongRL: Reinforcement Learning for Advanced Reasoning over Long Contexts
  
  Siyuan Wang, Gaokai Zhang, L. Zhang, Ning Shang, Fan Yang, Dongyao Chen, Mao Yang
  
  ICLR 2026 | October 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | October 2025
  
  DOI
- Breaking and Fixing Defenses Against Control-Flow Hijacking in Multi-Agent Systems
  
  Rishi Jha, Harold Triedman, Justin Wagle, Vitaly Shmatikov
  
  ICLR 2026 | October 2025
  
  DOI Publication
- Holdout-Loss-Based Data Selection for LLM Finetuning via In-Context Learning
  
  Ling Zhang, Xianliang Yang, Juwon Yu, Park Cheonyoung, Lei Song, Jiang Bian
  
  ICLR 2026 | October 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | October 2025
  
  Publication
- 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
  
  ICLR 2026 | October 2025
  
  DOI Publication
- Tracing the Traces: Latent Temporal Signals for Efficient and Accurate Reasoning
  
  Martina G. Vilas, Safoora Yousefi, Besmira Nushi, Eric Horvitz, Vidhisha Balachandran
  
  ICLR 2026 | October 2025
  
  Publication
- 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
  
  ICLR 2026 | October 2025
  
  Under review as a conference paper at ICLR 2026
  
  Publication
- Flipping the Dialogue: Training and Evaluating User Language Models
  
  Tarek Naous, Philippe Laban, Wei Xu, Jennifer Neville
  
  ICLR 2026 | October 2025
  
  DOI Publication
- The Markovian Thinker
  
  Milad Aghajohari, Kamran Chitsaz, Amirhossein Kazemnejad, Sarath Chandar, Alessandro Sordoni, Aaron C. Courville, Siva Reddy
  
  ICLR 2026 | October 2025
  
  Publication
- EEPO: Exploration-Enhanced Policy Optimization via Sample-Then-Forget
  
  Liang Chen, Xueting Han, Qizhou Wang, Bo Han, Jing Bai, Hinrich Schutze, Kam-Fai Wong
  
  ICLR 2026 | October 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | October 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | October 2025
  
  Publication
- 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
  
  ICLR 2026 | October 2025
  
  Publication
- Wavelet Predictive Representations for Non-Stationary Reinforcement Learning
  
  Min Wang, Xin Li, Ye He, Yao-Hui Li, Hasnaa Bennis, Riashat Islam, Mingzhong Wang
  
  ICLR 2026 | October 2025
  
  Publication
- 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
  
  ICLR 2026 | October 2025
  
  DOI Publication
- Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling
  
  Huangjie Zheng, Shansan Gong, Ruixiang Zhang, Tianrong Chen, Jiatao Gu, Mingyuan Zhou, N. Jaitly, Yizhe Zhang
  
  ICLR 2026 | September 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | September 2025
  
  DOI Publication
- Improving Code Localization with Repository Memory
  
  Boshi Wang, Weijian Xu, Yunsheng Li, Mei Gao, Yujia Xie, Huan Sun, Dongdong Chen
  
  ICLR 2026 | September 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | September 2025
  
  DOI Publication Publication
- 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
  
  ICLR 2026 | September 2025
  
  Publication
- Hyperspherical Latents Improve Continuous-Token Autoregressive Generation
  
  Guolin Ke, Hui Xue
  
  ICLR 2026 | September 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | September 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | September 2025
  
  Publication
- In-Context Compositional Q-Learning for Offline Reinforcement Learning
  
  Qiushui Xu, Yuhao Huang, Yushu Jiang, Lei Song, Jinyu Wang, Wenliang Zheng, Jiang Bian
  
  ICLR 2026 | September 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | September 2025
  
  Publication
- 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, Y. Hao, Wei Chen
  
  ICLR 2026 | September 2025
  
  DOI Publication
- 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
  
  2025 International Conference on Learning Representations | September 2025
  
  DOI Publication
- CAD-Tokenizer: Towards Text-based CAD Prototyping via Modality-Specific Tokenization
  
  Ruiyu Wang, Shizhao Sun, Weijian Ma, Jiang Bian
  
  ICLR 2026 | September 2025
  
  DOI Publication
- Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving
  
  Pengxiang Li, Yinan Zheng, Yue Wang, Huimin Wang, Hang Zhao, Jingjing Liu, Xianyuan Zhan, Kun Zhan, Xianpeng Lang
  
  ICLR 2026 | September 2025
  
  DOI Publication
- Actions Speak Louder than Prompts: A Large-Scale Study of LLMs for Graph Inference
  
  Ben Finkelshtein, Silviu Cucerzan, Sujay Kumar Jauhar, Ryen W. White
  
  ICLR 2026 | September 2025
  
  DOI Publication Publication
- 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
  
  ICLR 2026 | September 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | September 2025
  
  Publication
- UnLoc: Leveraging Depth Uncertainties for Floorplan Localization
  
  Matthias Wüest, Francis Engelmann, Ondrej Miksik, Marc Pollefeys, Dániel Baráth
  
  ICLR 2026 | September 2025
  
  Publication
- Is In-Context Learning Learning?
  
  Adrian de Wynter
  
  ICLR 2026 | September 2025
  
  Publication
- Understanding and Improving Shampoo and SOAP via Kullback-Leibler Minimization
  
  Wu Lin, Scott C. Lowe, Felix Dangel, Runa Eschenhagen, Zikun Xu, Roger B. Grosse
  
  ICLR 2026 | September 2025
  
  Publication
- Any-Order Flexible Length Masked Diffusion
  
  Jaeyeon Kim, C. Lee, Carles Domingo-Enrich, Yilun Du, S. Kakade, Timothy Ngotiaoco, Sitan Chen, M. S. Albergo
  
  ICLR 2026 | August 2025
  
  DOI Publication Publication
- 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
  
  ICLR 2026 | August 2025
  
  DOI Publication
- Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning
  
  Vaishnavi Shrivastava, Ahmed Awadallah, Vidhisha Balachandran, Shivam Garg, Harkirat Behl, Dimitris Papailiopoulos
  
  ICLR 2026 | August 2025
  
  Publication Author's Version
- VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models
  
  Lingjie Jiang, Shaohan Huang, Xun Wu, Yixia Li, Dongdong Zhang, Furu Wei
  
  ICLR 2026 | August 2025
  
  Publication
- 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
  
  ICLR 2026 | August 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | August 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | July 2025
  
  Publication
- 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
  
  ICLR 2026 | July 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | July 2025
  
  Publication
- Learning to summarize user information for personalized reinforcement learning from human feedback
  
  Hyunji Nam, Yanming Wan, Mickel Liu, Peter Ahnn, Jianxun Lian, Natasha Jaques
  
  ICLR 2026 | July 2025
  
  Publication
- Bradley-Terry and Multi-Objective Reward Modeling Are Complementary
  
  Zhiwei Zhang, Hui Liu, Xiaomin Li, Zhenwei Dai, Jingying Zeng, Fali Wang, Min Lin, Ramraj Chandradevan, Zhen Li, Chen Luo, Xianfeng Tang, Qi He, Suhang Wang
  
  ICLR 2026 | July 2025
  
  DOI Publication
- MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent
  
  Hongli Yu, Tinghong Chen, Jiangtao Feng, Jiangjie Chen, Weinan Dai, Qiying Yu, Ya-Qin Zhang, Wei-Ying Ma, Jingjing Liu, Mingxuan Wang, Hao Zhou
  
  ICLR 2026 | July 2025
  
  DOI Publication Publication
- Controllable diffusion-based generation for multi-channel biological data
  
  Haoran Zhang, Mingyuan Zhou, Wesley Tansey
  
  ICLR 2026 | June 2025
  
  DOI Publication
- HSSBench: Benchmarking Humanities and Social Sciences Ability for Multimodal Large Language Models
  
  Zhaolu Kang, Junhao Gong, Jiaxu Yan, Wanke Xia, Yian Wang, Ziwen Wang, Huaxuan Ding, Zhuo Cheng, Wenhao Cao, Zhiyuan Feng, Siqi He, Shannan Yan, Junzhe Chen, Xiaoming He, Chaoya Jiang, Wei Ye, Kaidong Yu, Xuelong Li
  
  ICLR 2026 | June 2025
  
  DOI Publication
- NetPress: Dynamically Generated LLM Benchmarks for Network Applications
  
  Yajie Zhou, Jiajun Ruan, Eric S. Wang, Sadjad Fouladi, Francis Y. Yan, Kevin Hsieh, Zaoxing Liu
  
  ICLR 2026 | June 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | May 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | May 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | May 2025
  
  Publication
- VeriTrail: Closed-Domain Hallucination Detection with Traceability
  
  Dasha Metropolitansky, Jonathan Larson
  
  ICLR 2026 | May 2025
  
  Publication 動画
- Token-Importance Guided Direct Preference Optimization
  
  Ning Yang, Hai Lin, Yibo Liu, Baoliang Tian, Guoqing Liu, Haijun Zhang
  
  ICLR 2026 | May 2025
  
  Publication
- 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
  
  ICLR 2026 | May 2025
  
  Publication
- ELEPHANT: Measuring and understanding social sycophancy in LLMs
  
  Myra Cheng, Sunny Yu, Cinoo Lee, Pranav Khadpe, Lujain Ibrahim, Dan Jurafsky
  
  ICLR 2026 | May 2025
  
  Publication
- 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
  
  ICLR 2026 | May 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | May 2025
  
  DOI Publication Publication
- LLMs Get Lost In Multi-Turn Conversation
  
  Philippe Laban, Hiroaki Hayashi, Yingbo Zhou, Jennifer Neville
  
  ICLR 2026 | May 2025
  
  Publication Github
- 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
  
  ICLR 2026 | March 2025
  
  DOI Publication
- Exploring Interpretability for Visual Prompt Tuning with Hierarchical Concepts
  
  Yubin Wang, Xinyang Jiang, De Cheng, Xiangqian Zhao, Zilong Wang, Dongsheng Li, Cairong Zhao
  
  ICLR 2026 | March 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | February 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | February 2025
  
  Publication
- Towards Efficient Optimizer Design for LLM via Structured Fisher Approximation with a Low-Rank Extension
  
  Wenbo Gong, Meyer Scetbon, Chao Ma, Edward Meeds
  
  ICLR 2026 | February 2025
  
  Publication
- 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
  
  ICLR 2026 | February 2025
  
  DOI Publication
- Combinatorial Rising Bandit
  
  Seockbean Song, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
  
  ICLR 2026 | November 2024
  
  DOI Publication
- Refining Counterfactual Explanations With Joint-Distribution-Informed Shapley Towards Actionable Minimality
  
  Lei You, Yijun Bian, Lele Cao
  
  ICLR 2026 | October 2024
  
  DOI Publication
- Hey, That’s My Model! Introducing Chain & Hash, An LLM Fingerprinting Technique
  
  Mark Russinovich, Ahmed Salem, Yanan Cai
  
  ICLR 2026 | July 2024
  
  DOI Publication

- Forward-Learned Discrete Diffusion: Learning how to noise to denoise faster
  
  Grigory Bartosh, Teodora Pandeva, Sushrut Karmalkar, Javier Zazo
  
  ICLR 2026 | April 2026
  
  Publication
- Parallel Sampling from Masked Diffusion Models via Conditional Independence Testing
  
  Iskander Azangulov, Teodora Pandeva, Niranjani Prasad, Javier Zazo, Sushrut Karmalkar
  
  ICLR 2026 | April 2026
  
  DOI Publication
- 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
  
  ICLR 2026 | April 2026
  
  Publication Publication
- 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
  
  ICLR 2026 | April 2026
  
  Publication
- Algorithm Generation via Creative Ideation
  
  Ruiying Ma, Chieh-Jan Mike Liang, Yanjie Gao, Francis Y. Yan
  
  ICLR (International Conference on Learning Representations) | April 2026
  
  Preprint
- Learning to Generate Unit Test via Adversarial Reinforcement Learning
  
  Dongjun Lee, Changho Hwang, Kimin Lee
  
  ICLR 2026 | April 2026
  
  Preprint
- 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
  
  ICLR 2026 | February 2026
  
  Publication
- PE-SGD: Differentially Private Deep Learning via Evolution of Gradient Subspace for Text
  
  Tianyuan Zou, Zinan Lin, Sivakanth Gopi, Yang Liu, Ya-Qin Zhang, Robert Sim, Xin Deng, Sergey Yekhanin
  
  ICLR 2026 | February 2026
  
  Publication プロジェクト
- NI Sampling: Accelerating Discrete Diffusion Sampling by Token Order Optimization
  
  Enshu Liu, Xuefei Ning, Yu Wang, Zinan Lin
  
  ICLR 2026 | February 2026
  
  Publication
- Optimizing Agent Planning for Security and Autonomy
  
  Aashish Kolluri, Rishi Sharma, Manuel Costa, Boris Köpf, Tobias Niessen, Mark Russinovich, Shruti Tople, Santiago Zanella-Béguelin
  
  ICLR 2026 | February 2026
  
  Publication Preprint プロジェクト
- Welfarist Formulations for Diverse Similarity Search
  
  Siddharth Barman, Nirjhar Das, Shivam Gupta, Kirankumar Shiragur
  
  ICLR 2026 | February 2026
  
  Publication
- GOT-Edit: Geometry-Aware Generic Object Tracking via Online Model Editing
  
  Shih-Fang Chen, Jun-Cheng Chen, I-Hong Jhuo, Yen-Yu Lin
  
  ICLR 2026 | February 2026
  
  Publication
- Horizon Imagination: Efficient On-Policy Training in Diffusion World Models
  
  Lior Cohen, Ofir Nabati, Kaixin Wang, Navdeep Kumar, Shie Mannor
  
  ICLR 2026 | February 2026
  
  Publication
- SEMA: Simple yet Effective Learning for Multi-Turn Jailbreak Attacks
  
  Mingqian Feng, Xiaodong Liu, Weiwei Yang, Jialin Song, Xuekai Zhu, Chenliang Xu, Jianfeng Gao
  
  ICLR 2026 | February 2026
  
  Publication
- 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
  
  ICLR 2026 | February 2026
  
  Publication
- Text2Arch: A Dataset for Generating Scientific Architecture Diagrams from Natural Language Descriptions
  
  Shivank Garg, Sankalp Mittal, Manish Gupta
  
  ICLR 2026 | February 2026
  
  Publication
- Training Large Reasoning Models Efficiently via Progressive Thought Encoding
  
  Zeliang Zhang, Xiaodong Liu, Hao Cheng, Hao Sun, Chenliang Xu, Jianfeng Gao
  
  ICLR 2026 | February 2026
  
  Publication
- TrustGen: A Platform of Dynamic Benchmarking on the Trustworthiness of Generative Foundation Models
  
  TrustGen Team, Jianfeng Gao
  
  ICLR 2026 | February 2026
  
  Publication
- 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
  
  ICLR 2026 | February 2026
  
  Publication
- 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
  
  ICLR 2026 | February 2026
  
  Publication
- Score Distillation Beyond Acceleration: Generative Modeling from Corrupted Data
  
  Yasi Zhang, Tianyu Chen, Zhendong Wang, Yingnian Wu, Mingyuan Zhou, Oscar Leong
  
  ICLR 2026 | February 2026
  
  Publication Publication
- 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
  
  ICLR 2026 | January 2026
  
  Publication
- From Abstract to Contextual: What LLMs Still Cannot Do in Mathematics
  
  Bowen Cao, Dongdong Zhang, Yixia Li, Junpeng Liu, Shijue Huang, Chufan Shi, Hongyuan Lu, Yaokang Wu, Guanhua Chen, Wai Lam, Furu Wei
  
  ICLR 2026 | January 2026
  
  Publication
- AdaReasoner: Dynamic Tool Orchestration for Iterative Visual Reasoning
  
  Mingyang Song, Haoyu Sun, Jiawei Gu, Linjie Li, Luxin Xu, Ranjay Krishna, Yu Cheng
  
  ICLR 2026 | January 2026
  
  Publication
- EmotionThinker: Prosody-Aware Reinforcement Learning for Explainable Speech Emotion Reasoning
  
  Dingdong Wang, Shujie Liu, Tianhua Zhang, Youjun Chen, Jinyu Li, Helen M. Meng
  
  ICLR 2026 | January 2026
  
  Publication
- Dichotomous Diffusion Policy Optimization
  
  Ruiming Liang, Yinan Zheng, Kexin Zheng, Tianyi Tan, Jianxiong Li, Liyuan Mao, Zhihao Wang, Guang Chen, Hangjun Ye, Jingjing Liu, Jinqiao Wang, Xianyuan Zhan
  
  ICLR 2026 | December 2025
  
  DOI Publication
- Generalization of RLVR Using Causal Reasoning as a Testbed
  
  Brian Lu, Hongyu Zhao, Shuo Sun, Hao Peng, Rui Ding, Hongyuan Mei
  
  ICLR 2026 | December 2025
  
  Publication
- 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
  
  ICLR 2026 | December 2025
  
  DOI Publication
- SpaceControl: Introducing Test-Time Spatial Control to 3D Generative Modeling
  
  Elisabetta Fedele, Francis Engelmann, Ian Huang, O. Litany, Marc Pollefeys, Leonidas J. Guibas
  
  ICLR 2026 | December 2025
  
  Publication
- Beyond Membership: Limitations of Add/Remove Adjacency in Differential Privacy
  
  Gauri Pradhan, Joonas Jälkö, Santiago Zanella-Béguelin, Antti Honkela
  
  ICLR 2026 | November 2025
  
  DOI Publication
- YoNoSplat: You Only Need One Model for Feedforward 3D Gaussian Splatting
  
  Botao Ye, Boqi Chen, Haofei Xu, Dániel Baráth, Marc Pollefeys
  
  ICLR 2026 | November 2025
  
  Publication
- TwinVLA: Data-Efficient Bimanual Manipulation with Twin Single-Arm Vision-Language-Action Models
  
  Hokyun Im, Euijin Jeong, Andrey Kolobov, Jianlong Fu, Youngwoon Lee
  
  ICLR 2026 | November 2025
  
  Publication
- Align to Misalign: Automatic LLM Jailbreak with Meta-Optimized LLM Judges
  
  Hamin Koo, Minseon Kim, Jaehyung Kim
  
  ICLR 2026 | November 2025
  
  DOI Publication Publication
- 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
  
  ICLR 2026 | October 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | October 2025
  
  DOI Publication
- Sequences of Logits Reveal the Low Rank Structure of Language Models
  
  Noah Golowich, Allen Liu, Abhishek Shetty
  
  ICLR 2026 | October 2025
  
  Publication
- AESCoder: Code Aesthetics with Agentic Reward Feedback
  
  Lingjie Jiang, Bang Xiao, Shaohan Huang, Tengchao Lv, Yupan Huang, Xun Wu, Lei Cui, Furu Wei
  
  ICLR 2026 | October 2025
  
  DOI Publication Publication
- LoongRL: Reinforcement Learning for Advanced Reasoning over Long Contexts
  
  Siyuan Wang, Gaokai Zhang, L. Zhang, Ning Shang, Fan Yang, Dongyao Chen, Mao Yang
  
  ICLR 2026 | October 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | October 2025
  
  DOI
- Breaking and Fixing Defenses Against Control-Flow Hijacking in Multi-Agent Systems
  
  Rishi Jha, Harold Triedman, Justin Wagle, Vitaly Shmatikov
  
  ICLR 2026 | October 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | October 2025
  
  Publication
- Holdout-Loss-Based Data Selection for LLM Finetuning via In-Context Learning
  
  Ling Zhang, Xianliang Yang, Juwon Yu, Park Cheonyoung, Lei Song, Jiang Bian
  
  ICLR 2026 | October 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | October 2025
  
  DOI Publication
- Tracing the Traces: Latent Temporal Signals for Efficient and Accurate Reasoning
  
  Martina G. Vilas, Safoora Yousefi, Besmira Nushi, Eric Horvitz, Vidhisha Balachandran
  
  ICLR 2026 | October 2025
  
  Publication
- 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
  
  ICLR 2026 | October 2025
  
  Under review as a conference paper at ICLR 2026
  
  Publication
- The Markovian Thinker
  
  Milad Aghajohari, Kamran Chitsaz, Amirhossein Kazemnejad, Sarath Chandar, Alessandro Sordoni, Aaron C. Courville, Siva Reddy
  
  ICLR 2026 | October 2025
  
  Publication
- Flipping the Dialogue: Training and Evaluating User Language Models
  
  Tarek Naous, Philippe Laban, Wei Xu, Jennifer Neville
  
  ICLR 2026 | October 2025
  
  DOI Publication
- EEPO: Exploration-Enhanced Policy Optimization via Sample-Then-Forget
  
  Liang Chen, Xueting Han, Qizhou Wang, Bo Han, Jing Bai, Hinrich Schutze, Kam-Fai Wong
  
  ICLR 2026 | October 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | October 2025
  
  Publication
- 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
  
  ICLR 2026 | October 2025
  
  Publication
- Wavelet Predictive Representations for Non-Stationary Reinforcement Learning
  
  Min Wang, Xin Li, Ye He, Yao-Hui Li, Hasnaa Bennis, Riashat Islam, Mingzhong Wang
  
  ICLR 2026 | October 2025
  
  Publication
- 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
  
  ICLR 2026 | October 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | October 2025
  
  DOI Publication
- Improving Code Localization with Repository Memory
  
  Boshi Wang, Weijian Xu, Yunsheng Li, Mei Gao, Yujia Xie, Huan Sun, Dongdong Chen
  
  ICLR 2026 | September 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | September 2025
  
  DOI Publication
- Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling
  
  Huangjie Zheng, Shansan Gong, Ruixiang Zhang, Tianrong Chen, Jiatao Gu, Mingyuan Zhou, N. Jaitly, Yizhe Zhang
  
  ICLR 2026 | September 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | September 2025
  
  Publication
- 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
  
  ICLR 2026 | September 2025
  
  DOI Publication Publication
- 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
  
  ICLR 2026 | September 2025
  
  DOI Publication
- Hyperspherical Latents Improve Continuous-Token Autoregressive Generation
  
  Guolin Ke, Hui Xue
  
  ICLR 2026 | September 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | September 2025
  
  Publication
- In-Context Compositional Q-Learning for Offline Reinforcement Learning
  
  Qiushui Xu, Yuhao Huang, Yushu Jiang, Lei Song, Jinyu Wang, Wenliang Zheng, Jiang Bian
  
  ICLR 2026 | September 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | September 2025
  
  Publication
- 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
  
  2025 International Conference on Learning Representations | September 2025
  
  DOI Publication
- 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, Y. Hao, Wei Chen
  
  ICLR 2026 | September 2025
  
  DOI Publication
- CAD-Tokenizer: Towards Text-based CAD Prototyping via Modality-Specific Tokenization
  
  Ruiyu Wang, Shizhao Sun, Weijian Ma, Jiang Bian
  
  ICLR 2026 | September 2025
  
  DOI Publication
- Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving
  
  Pengxiang Li, Yinan Zheng, Yue Wang, Huimin Wang, Hang Zhao, Jingjing Liu, Xianyuan Zhan, Kun Zhan, Xianpeng Lang
  
  ICLR 2026 | September 2025
  
  DOI Publication
- Actions Speak Louder than Prompts: A Large-Scale Study of LLMs for Graph Inference
  
  Ben Finkelshtein, Silviu Cucerzan, Sujay Kumar Jauhar, Ryen W. White
  
  ICLR 2026 | September 2025
  
  DOI Publication Publication
- 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
  
  ICLR 2026 | September 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | September 2025
  
  Publication
- UnLoc: Leveraging Depth Uncertainties for Floorplan Localization
  
  Matthias Wüest, Francis Engelmann, Ondrej Miksik, Marc Pollefeys, Dániel Baráth
  
  ICLR 2026 | September 2025
  
  Publication
- Is In-Context Learning Learning?
  
  Adrian de Wynter
  
  ICLR 2026 | September 2025
  
  Publication
- Understanding and Improving Shampoo and SOAP via Kullback-Leibler Minimization
  
  Wu Lin, Scott C. Lowe, Felix Dangel, Runa Eschenhagen, Zikun Xu, Roger B. Grosse
  
  ICLR 2026 | September 2025
  
  Publication
- Any-Order Flexible Length Masked Diffusion
  
  Jaeyeon Kim, C. Lee, Carles Domingo-Enrich, Yilun Du, S. Kakade, Timothy Ngotiaoco, Sitan Chen, M. S. Albergo
  
  ICLR 2026 | August 2025
  
  DOI Publication Publication
- 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
  
  ICLR 2026 | August 2025
  
  DOI Publication
- Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning
  
  Vaishnavi Shrivastava, Ahmed Awadallah, Vidhisha Balachandran, Shivam Garg, Harkirat Behl, Dimitris Papailiopoulos
  
  ICLR 2026 | August 2025
  
  Publication Author's Version
- VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models
  
  Lingjie Jiang, Shaohan Huang, Xun Wu, Yixia Li, Dongdong Zhang, Furu Wei
  
  ICLR 2026 | August 2025
  
  Publication
- 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
  
  ICLR 2026 | August 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | August 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | July 2025
  
  Publication
- 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
  
  ICLR 2026 | July 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | July 2025
  
  Publication
- Learning to summarize user information for personalized reinforcement learning from human feedback
  
  Hyunji Nam, Yanming Wan, Mickel Liu, Peter Ahnn, Jianxun Lian, Natasha Jaques
  
  ICLR 2026 | July 2025
  
  Publication
- Bradley-Terry and Multi-Objective Reward Modeling Are Complementary
  
  Zhiwei Zhang, Hui Liu, Xiaomin Li, Zhenwei Dai, Jingying Zeng, Fali Wang, Min Lin, Ramraj Chandradevan, Zhen Li, Chen Luo, Xianfeng Tang, Qi He, Suhang Wang
  
  ICLR 2026 | July 2025
  
  DOI Publication
- MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent
  
  Hongli Yu, Tinghong Chen, Jiangtao Feng, Jiangjie Chen, Weinan Dai, Qiying Yu, Ya-Qin Zhang, Wei-Ying Ma, Jingjing Liu, Mingxuan Wang, Hao Zhou
  
  ICLR 2026 | July 2025
  
  DOI Publication Publication
- Controllable diffusion-based generation for multi-channel biological data
  
  Haoran Zhang, Mingyuan Zhou, Wesley Tansey
  
  ICLR 2026 | June 2025
  
  DOI Publication
- HSSBench: Benchmarking Humanities and Social Sciences Ability for Multimodal Large Language Models
  
  Zhaolu Kang, Junhao Gong, Jiaxu Yan, Wanke Xia, Yian Wang, Ziwen Wang, Huaxuan Ding, Zhuo Cheng, Wenhao Cao, Zhiyuan Feng, Siqi He, Shannan Yan, Junzhe Chen, Xiaoming He, Chaoya Jiang, Wei Ye, Kaidong Yu, Xuelong Li
  
  ICLR 2026 | June 2025
  
  DOI Publication
- NetPress: Dynamically Generated LLM Benchmarks for Network Applications
  
  Yajie Zhou, Jiajun Ruan, Eric S. Wang, Sadjad Fouladi, Francis Y. Yan, Kevin Hsieh, Zaoxing Liu
  
  ICLR 2026 | June 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | May 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | May 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | May 2025
  
  Publication
- VeriTrail: Closed-Domain Hallucination Detection with Traceability
  
  Dasha Metropolitansky, Jonathan Larson
  
  ICLR 2026 | May 2025
  
  Publication 動画
- Token-Importance Guided Direct Preference Optimization
  
  Ning Yang, Hai Lin, Yibo Liu, Baoliang Tian, Guoqing Liu, Haijun Zhang
  
  ICLR 2026 | May 2025
  
  Publication
- 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
  
  ICLR 2026 | May 2025
  
  Publication
- ELEPHANT: Measuring and understanding social sycophancy in LLMs
  
  Myra Cheng, Sunny Yu, Cinoo Lee, Pranav Khadpe, Lujain Ibrahim, Dan Jurafsky
  
  ICLR 2026 | May 2025
  
  Publication
- 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
  
  ICLR 2026 | May 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | May 2025
  
  DOI Publication Publication
- LLMs Get Lost In Multi-Turn Conversation
  
  Philippe Laban, Hiroaki Hayashi, Yingbo Zhou, Jennifer Neville
  
  ICLR 2026 | May 2025
  
  Publication Github
- 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
  
  ICLR 2026 | March 2025
  
  DOI Publication
- Exploring Interpretability for Visual Prompt Tuning with Hierarchical Concepts
  
  Yubin Wang, Xinyang Jiang, De Cheng, Xiangqian Zhao, Zilong Wang, Dongsheng Li, Cairong Zhao
  
  ICLR 2026 | March 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | February 2025
  
  Publication
- 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
  
  ICLR 2026 | February 2025
  
  DOI Publication
- Towards Efficient Optimizer Design for LLM via Structured Fisher Approximation with a Low-Rank Extension
  
  Wenbo Gong, Meyer Scetbon, Chao Ma, Edward Meeds
  
  ICLR 2026 | February 2025
  
  Publication
- 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
  
  ICLR 2026 | February 2025
  
  DOI Publication
- Combinatorial Rising Bandit
  
  Seockbean Song, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
  
  ICLR 2026 | November 2024
  
  DOI Publication
- Refining Counterfactual Explanations With Joint-Distribution-Informed Shapley Towards Actionable Minimality
  
  Lei You, Yijun Bian, Lele Cao
  
  ICLR 2026 | October 2024
  
  DOI Publication
- Hey, That’s My Model! Introducing Chain & Hash, An LLM Fingerprinting Technique
  
  Mark Russinovich, Ahmed Salem, Yanan Cai
  
  ICLR 2026 | July 2024
  
  DOI Publication
- From Easy to Hard++: Promoting Differentially Private Image Synthesis Through Spatial-Frequency Curriculum
  
  Chen Gong, Kecen Li, Zinan Lin, Tianhao Wang
  
  Usenix Security 2026 | February 2026
  
  Publication プロジェクト
- 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
  
  ICLR 2026 | February 2026
  
  Publication
- 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
  
  ICLR 2026 | February 2026
  
  Publication
- YoNoSplat: You Only Need One Model for Feedforward 3D Gaussian Splatting
  
  Botao Ye, Boqi Chen, Haofei Xu, Dániel Baráth, Marc Pollefeys
  
  ICLR 2026 | November 2025
  
  Publication
- 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
  
  ICLR 2026 | September 2025
  
  Publication
- Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving
  
  Pengxiang Li, Yinan Zheng, Yue Wang, Huimin Wang, Hang Zhao, Jingjing Liu, Xianyuan Zhan, Kun Zhan, Xianpeng Lang
  
  ICLR 2026 | September 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | September 2025
  
  Publication
- UnLoc: Leveraging Depth Uncertainties for Floorplan Localization
  
  Matthias Wüest, Francis Engelmann, Ondrej Miksik, Marc Pollefeys, Dániel Baráth
  
  ICLR 2026 | September 2025
  
  Publication
- 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
  
  ICLR 2026 | April 2026
  
  Publication
- Welfarist Formulations for Diverse Similarity Search
  
  Siddharth Barman, Nirjhar Das, Shivam Gupta, Kirankumar Shiragur
  
  ICLR 2026 | February 2026
  
  Publication
- Welfarist Formulations for Diverse Similarity Search
  
  Siddharth Barman, Nirjhar Das, Shivam Gupta, Kirankumar Shiragur
  
  ICLR 2026 | February 2026
  
  Publication
- Welfarist Formulations for Diverse Similarity Search
  
  Siddharth Barman, Nirjhar Das, Shivam Gupta, Kirankumar Shiragur
  
  ICLR 2026 | February 2026
  
  Publication
- 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
  
  ICLR 2026 | August 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | February 2026
  
  Publication
- EmotionThinker: Prosody-Aware Reinforcement Learning for Explainable Speech Emotion Reasoning
  
  Dingdong Wang, Shujie Liu, Tianhua Zhang, Youjun Chen, Jinyu Li, Helen M. Meng
  
  ICLR 2026 | January 2026
  
  Publication
- 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
  
  ICLR 2026 | September 2025
  
  DOI Publication
- PE-SGD: Differentially Private Deep Learning via Evolution of Gradient Subspace for Text
  
  Tianyuan Zou, Zinan Lin, Sivakanth Gopi, Yang Liu, Ya-Qin Zhang, Robert Sim, Xin Deng, Sergey Yekhanin
  
  ICLR 2026 | February 2026
  
  Publication プロジェクト
- NI Sampling: Accelerating Discrete Diffusion Sampling by Token Order Optimization
  
  Enshu Liu, Xuefei Ning, Yu Wang, Zinan Lin
  
  ICLR 2026 | February 2026
  
  Publication
- 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
  
  ICLR 2026 | February 2026
  
  Publication
- VeriTrail: Closed-Domain Hallucination Detection with Traceability
  
  Dasha Metropolitansky, Jonathan Larson
  
  ICLR 2026 | May 2025
  
  Publication 動画
- LLMs Get Lost In Multi-Turn Conversation
  
  Philippe Laban, Hiroaki Hayashi, Yingbo Zhou, Jennifer Neville
  
  ICLR 2026 | May 2025
  
  Publication Github
- From Abstract to Contextual: What LLMs Still Cannot Do in Mathematics
  
  Bowen Cao, Dongdong Zhang, Yixia Li, Junpeng Liu, Shijue Huang, Chufan Shi, Hongyuan Lu, Yaokang Wu, Guanhua Chen, Wai Lam, Furu Wei
  
  ICLR 2026 | January 2026
  
  Publication
- Controllable diffusion-based generation for multi-channel biological data
  
  Haoran Zhang, Mingyuan Zhou, Wesley Tansey
  
  ICLR 2026 | June 2025
  
  DOI Publication
- From Easy to Hard++: Promoting Differentially Private Image Synthesis Through Spatial-Frequency Curriculum
  
  Chen Gong, Kecen Li, Zinan Lin, Tianhao Wang
  
  Usenix Security 2026 | February 2026
  
  Publication プロジェクト
- PE-SGD: Differentially Private Deep Learning via Evolution of Gradient Subspace for Text
  
  Tianyuan Zou, Zinan Lin, Sivakanth Gopi, Yang Liu, Ya-Qin Zhang, Robert Sim, Xin Deng, Sergey Yekhanin
  
  ICLR 2026 | February 2026
  
  Publication プロジェクト
- 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
  
  ICLR 2026 | February 2026
  
  Publication
- Learning to Generate Unit Test via Adversarial Reinforcement Learning
  
  Dongjun Lee, Changho Hwang, Kimin Lee
  
  ICLR 2026 | April 2026
  
  Preprint
- Algorithm Generation via Creative Ideation
  
  Ruiying Ma, Chieh-Jan Mike Liang, Yanjie Gao, Francis Y. Yan
  
  ICLR (International Conference on Learning Representations) | April 2026
  
  Preprint

- Forward-Learned Discrete Diffusion: Learning how to noise to denoise faster
  
  Grigory Bartosh, Teodora Pandeva, Sushrut Karmalkar, Javier Zazo
  
  ICLR 2026 | April 2026
  
  Publication
- Parallel Sampling from Masked Diffusion Models via Conditional Independence Testing
  
  Iskander Azangulov, Teodora Pandeva, Niranjani Prasad, Javier Zazo, Sushrut Karmalkar
  
  ICLR 2026 | April 2026
  
  DOI Publication
- 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
  
  ICLR 2026 | April 2026
  
  Publication Publication
- 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
  
  ICLR 2026 | April 2026
  
  Publication
- Algorithm Generation via Creative Ideation
  
  Ruiying Ma, Chieh-Jan Mike Liang, Yanjie Gao, Francis Y. Yan
  
  ICLR (International Conference on Learning Representations) | April 2026
  
  Preprint
- Learning to Generate Unit Test via Adversarial Reinforcement Learning
  
  Dongjun Lee, Changho Hwang, Kimin Lee
  
  ICLR 2026 | April 2026
  
  Preprint
- From Easy to Hard++: Promoting Differentially Private Image Synthesis Through Spatial-Frequency Curriculum
  
  Chen Gong, Kecen Li, Zinan Lin, Tianhao Wang
  
  Usenix Security 2026 | February 2026
  
  Publication プロジェクト
- 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
  
  ICLR 2026 | February 2026
  
  Publication
- PE-SGD: Differentially Private Deep Learning via Evolution of Gradient Subspace for Text
  
  Tianyuan Zou, Zinan Lin, Sivakanth Gopi, Yang Liu, Ya-Qin Zhang, Robert Sim, Xin Deng, Sergey Yekhanin
  
  ICLR 2026 | February 2026
  
  Publication プロジェクト
- NI Sampling: Accelerating Discrete Diffusion Sampling by Token Order Optimization
  
  Enshu Liu, Xuefei Ning, Yu Wang, Zinan Lin
  
  ICLR 2026 | February 2026
  
  Publication
- Optimizing Agent Planning for Security and Autonomy
  
  Aashish Kolluri, Rishi Sharma, Manuel Costa, Boris Köpf, Tobias Niessen, Mark Russinovich, Shruti Tople, Santiago Zanella-Béguelin
  
  ICLR 2026 | February 2026
  
  Publication Preprint プロジェクト
- Welfarist Formulations for Diverse Similarity Search
  
  Siddharth Barman, Nirjhar Das, Shivam Gupta, Kirankumar Shiragur
  
  ICLR 2026 | February 2026
  
  Publication
- GOT-Edit: Geometry-Aware Generic Object Tracking via Online Model Editing
  
  Shih-Fang Chen, Jun-Cheng Chen, I-Hong Jhuo, Yen-Yu Lin
  
  ICLR 2026 | February 2026
  
  Publication
- Horizon Imagination: Efficient On-Policy Training in Diffusion World Models
  
  Lior Cohen, Ofir Nabati, Kaixin Wang, Navdeep Kumar, Shie Mannor
  
  ICLR 2026 | February 2026
  
  Publication
- SEMA: Simple yet Effective Learning for Multi-Turn Jailbreak Attacks
  
  Mingqian Feng, Xiaodong Liu, Weiwei Yang, Jialin Song, Xuekai Zhu, Chenliang Xu, Jianfeng Gao
  
  ICLR 2026 | February 2026
  
  Publication
- 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
  
  ICLR 2026 | February 2026
  
  Publication
- Text2Arch: A Dataset for Generating Scientific Architecture Diagrams from Natural Language Descriptions
  
  Shivank Garg, Sankalp Mittal, Manish Gupta
  
  ICLR 2026 | February 2026
  
  Publication
- Training Large Reasoning Models Efficiently via Progressive Thought Encoding
  
  Zeliang Zhang, Xiaodong Liu, Hao Cheng, Hao Sun, Chenliang Xu, Jianfeng Gao
  
  ICLR 2026 | February 2026
  
  Publication
- TrustGen: A Platform of Dynamic Benchmarking on the Trustworthiness of Generative Foundation Models
  
  TrustGen Team, Jianfeng Gao
  
  ICLR 2026 | February 2026
  
  Publication
- 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
  
  ICLR 2026 | February 2026
  
  Publication
- 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
  
  ICLR 2026 | February 2026
  
  Publication
- Score Distillation Beyond Acceleration: Generative Modeling from Corrupted Data
  
  Yasi Zhang, Tianyu Chen, Zhendong Wang, Yingnian Wu, Mingyuan Zhou, Oscar Leong
  
  ICLR 2026 | February 2026
  
  Publication Publication
- 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
  
  ICLR 2026 | January 2026
  
  Publication
- From Abstract to Contextual: What LLMs Still Cannot Do in Mathematics
  
  Bowen Cao, Dongdong Zhang, Yixia Li, Junpeng Liu, Shijue Huang, Chufan Shi, Hongyuan Lu, Yaokang Wu, Guanhua Chen, Wai Lam, Furu Wei
  
  ICLR 2026 | January 2026
  
  Publication
- AdaReasoner: Dynamic Tool Orchestration for Iterative Visual Reasoning
  
  Mingyang Song, Haoyu Sun, Jiawei Gu, Linjie Li, Luxin Xu, Ranjay Krishna, Yu Cheng
  
  ICLR 2026 | January 2026
  
  Publication
- EmotionThinker: Prosody-Aware Reinforcement Learning for Explainable Speech Emotion Reasoning
  
  Dingdong Wang, Shujie Liu, Tianhua Zhang, Youjun Chen, Jinyu Li, Helen M. Meng
  
  ICLR 2026 | January 2026
  
  Publication
- Dichotomous Diffusion Policy Optimization
  
  Ruiming Liang, Yinan Zheng, Kexin Zheng, Tianyi Tan, Jianxiong Li, Liyuan Mao, Zhihao Wang, Guang Chen, Hangjun Ye, Jingjing Liu, Jinqiao Wang, Xianyuan Zhan
  
  ICLR 2026 | December 2025
  
  DOI Publication
- Generalization of RLVR Using Causal Reasoning as a Testbed
  
  Brian Lu, Hongyu Zhao, Shuo Sun, Hao Peng, Rui Ding, Hongyuan Mei
  
  ICLR 2026 | December 2025
  
  Publication
- 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
  
  ICLR 2026 | December 2025
  
  DOI Publication
- SpaceControl: Introducing Test-Time Spatial Control to 3D Generative Modeling
  
  Elisabetta Fedele, Francis Engelmann, Ian Huang, O. Litany, Marc Pollefeys, Leonidas J. Guibas
  
  ICLR 2026 | December 2025
  
  Publication
- Beyond Membership: Limitations of Add/Remove Adjacency in Differential Privacy
  
  Gauri Pradhan, Joonas Jälkö, Santiago Zanella-Béguelin, Antti Honkela
  
  ICLR 2026 | November 2025
  
  DOI Publication
- YoNoSplat: You Only Need One Model for Feedforward 3D Gaussian Splatting
  
  Botao Ye, Boqi Chen, Haofei Xu, Dániel Baráth, Marc Pollefeys
  
  ICLR 2026 | November 2025
  
  Publication
- TwinVLA: Data-Efficient Bimanual Manipulation with Twin Single-Arm Vision-Language-Action Models
  
  Hokyun Im, Euijin Jeong, Andrey Kolobov, Jianlong Fu, Youngwoon Lee
  
  ICLR 2026 | November 2025
  
  Publication
- Align to Misalign: Automatic LLM Jailbreak with Meta-Optimized LLM Judges
  
  Hamin Koo, Minseon Kim, Jaehyung Kim
  
  ICLR 2026 | November 2025
  
  DOI Publication Publication
- 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
  
  ICLR 2026 | October 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | October 2025
  
  DOI Publication
- Sequences of Logits Reveal the Low Rank Structure of Language Models
  
  Noah Golowich, Allen Liu, Abhishek Shetty
  
  ICLR 2026 | October 2025
  
  Publication
- AESCoder: Code Aesthetics with Agentic Reward Feedback
  
  Lingjie Jiang, Bang Xiao, Shaohan Huang, Tengchao Lv, Yupan Huang, Xun Wu, Lei Cui, Furu Wei
  
  ICLR 2026 | October 2025
  
  DOI Publication Publication
- LoongRL: Reinforcement Learning for Advanced Reasoning over Long Contexts
  
  Siyuan Wang, Gaokai Zhang, L. Zhang, Ning Shang, Fan Yang, Dongyao Chen, Mao Yang
  
  ICLR 2026 | October 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | October 2025
  
  DOI
- Breaking and Fixing Defenses Against Control-Flow Hijacking in Multi-Agent Systems
  
  Rishi Jha, Harold Triedman, Justin Wagle, Vitaly Shmatikov
  
  ICLR 2026 | October 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | October 2025
  
  Publication
- Holdout-Loss-Based Data Selection for LLM Finetuning via In-Context Learning
  
  Ling Zhang, Xianliang Yang, Juwon Yu, Park Cheonyoung, Lei Song, Jiang Bian
  
  ICLR 2026 | October 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | October 2025
  
  DOI Publication
- Tracing the Traces: Latent Temporal Signals for Efficient and Accurate Reasoning
  
  Martina G. Vilas, Safoora Yousefi, Besmira Nushi, Eric Horvitz, Vidhisha Balachandran
  
  ICLR 2026 | October 2025
  
  Publication
- 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
  
  ICLR 2026 | October 2025
  
  Under review as a conference paper at ICLR 2026
  
  Publication
- The Markovian Thinker
  
  Milad Aghajohari, Kamran Chitsaz, Amirhossein Kazemnejad, Sarath Chandar, Alessandro Sordoni, Aaron C. Courville, Siva Reddy
  
  ICLR 2026 | October 2025
  
  Publication
- Flipping the Dialogue: Training and Evaluating User Language Models
  
  Tarek Naous, Philippe Laban, Wei Xu, Jennifer Neville
  
  ICLR 2026 | October 2025
  
  DOI Publication
- EEPO: Exploration-Enhanced Policy Optimization via Sample-Then-Forget
  
  Liang Chen, Xueting Han, Qizhou Wang, Bo Han, Jing Bai, Hinrich Schutze, Kam-Fai Wong
  
  ICLR 2026 | October 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | October 2025
  
  Publication
- 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
  
  ICLR 2026 | October 2025
  
  Publication
- Wavelet Predictive Representations for Non-Stationary Reinforcement Learning
  
  Min Wang, Xin Li, Ye He, Yao-Hui Li, Hasnaa Bennis, Riashat Islam, Mingzhong Wang
  
  ICLR 2026 | October 2025
  
  Publication
- 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
  
  ICLR 2026 | October 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | October 2025
  
  DOI Publication
- Improving Code Localization with Repository Memory
  
  Boshi Wang, Weijian Xu, Yunsheng Li, Mei Gao, Yujia Xie, Huan Sun, Dongdong Chen
  
  ICLR 2026 | September 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | September 2025
  
  DOI Publication
- Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling
  
  Huangjie Zheng, Shansan Gong, Ruixiang Zhang, Tianrong Chen, Jiatao Gu, Mingyuan Zhou, N. Jaitly, Yizhe Zhang
  
  ICLR 2026 | September 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | September 2025
  
  Publication
- 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
  
  ICLR 2026 | September 2025
  
  DOI Publication Publication
- 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
  
  ICLR 2026 | September 2025
  
  DOI Publication
- Hyperspherical Latents Improve Continuous-Token Autoregressive Generation
  
  Guolin Ke, Hui Xue
  
  ICLR 2026 | September 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | September 2025
  
  Publication
- In-Context Compositional Q-Learning for Offline Reinforcement Learning
  
  Qiushui Xu, Yuhao Huang, Yushu Jiang, Lei Song, Jinyu Wang, Wenliang Zheng, Jiang Bian
  
  ICLR 2026 | September 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | September 2025
  
  Publication
- 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
  
  2025 International Conference on Learning Representations | September 2025
  
  DOI Publication
- 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, Y. Hao, Wei Chen
  
  ICLR 2026 | September 2025
  
  DOI Publication
- CAD-Tokenizer: Towards Text-based CAD Prototyping via Modality-Specific Tokenization
  
  Ruiyu Wang, Shizhao Sun, Weijian Ma, Jiang Bian
  
  ICLR 2026 | September 2025
  
  DOI Publication
- Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving
  
  Pengxiang Li, Yinan Zheng, Yue Wang, Huimin Wang, Hang Zhao, Jingjing Liu, Xianyuan Zhan, Kun Zhan, Xianpeng Lang
  
  ICLR 2026 | September 2025
  
  DOI Publication
- Actions Speak Louder than Prompts: A Large-Scale Study of LLMs for Graph Inference
  
  Ben Finkelshtein, Silviu Cucerzan, Sujay Kumar Jauhar, Ryen W. White
  
  ICLR 2026 | September 2025
  
  DOI Publication Publication
- 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
  
  ICLR 2026 | September 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | September 2025
  
  Publication
- UnLoc: Leveraging Depth Uncertainties for Floorplan Localization
  
  Matthias Wüest, Francis Engelmann, Ondrej Miksik, Marc Pollefeys, Dániel Baráth
  
  ICLR 2026 | September 2025
  
  Publication
- Is In-Context Learning Learning?
  
  Adrian de Wynter
  
  ICLR 2026 | September 2025
  
  Publication
- Understanding and Improving Shampoo and SOAP via Kullback-Leibler Minimization
  
  Wu Lin, Scott C. Lowe, Felix Dangel, Runa Eschenhagen, Zikun Xu, Roger B. Grosse
  
  ICLR 2026 | September 2025
  
  Publication
- Any-Order Flexible Length Masked Diffusion
  
  Jaeyeon Kim, C. Lee, Carles Domingo-Enrich, Yilun Du, S. Kakade, Timothy Ngotiaoco, Sitan Chen, M. S. Albergo
  
  ICLR 2026 | August 2025
  
  DOI Publication Publication
- 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
  
  ICLR 2026 | August 2025
  
  DOI Publication
- Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning
  
  Vaishnavi Shrivastava, Ahmed Awadallah, Vidhisha Balachandran, Shivam Garg, Harkirat Behl, Dimitris Papailiopoulos
  
  ICLR 2026 | August 2025
  
  Publication Author's Version
- VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models
  
  Lingjie Jiang, Shaohan Huang, Xun Wu, Yixia Li, Dongdong Zhang, Furu Wei
  
  ICLR 2026 | August 2025
  
  Publication
- 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
  
  ICLR 2026 | August 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | August 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | July 2025
  
  Publication
- 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
  
  ICLR 2026 | July 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | July 2025
  
  Publication
- Learning to summarize user information for personalized reinforcement learning from human feedback
  
  Hyunji Nam, Yanming Wan, Mickel Liu, Peter Ahnn, Jianxun Lian, Natasha Jaques
  
  ICLR 2026 | July 2025
  
  Publication
- Bradley-Terry and Multi-Objective Reward Modeling Are Complementary
  
  Zhiwei Zhang, Hui Liu, Xiaomin Li, Zhenwei Dai, Jingying Zeng, Fali Wang, Min Lin, Ramraj Chandradevan, Zhen Li, Chen Luo, Xianfeng Tang, Qi He, Suhang Wang
  
  ICLR 2026 | July 2025
  
  DOI Publication
- MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent
  
  Hongli Yu, Tinghong Chen, Jiangtao Feng, Jiangjie Chen, Weinan Dai, Qiying Yu, Ya-Qin Zhang, Wei-Ying Ma, Jingjing Liu, Mingxuan Wang, Hao Zhou
  
  ICLR 2026 | July 2025
  
  DOI Publication Publication
- Controllable diffusion-based generation for multi-channel biological data
  
  Haoran Zhang, Mingyuan Zhou, Wesley Tansey
  
  ICLR 2026 | June 2025
  
  DOI Publication
- HSSBench: Benchmarking Humanities and Social Sciences Ability for Multimodal Large Language Models
  
  Zhaolu Kang, Junhao Gong, Jiaxu Yan, Wanke Xia, Yian Wang, Ziwen Wang, Huaxuan Ding, Zhuo Cheng, Wenhao Cao, Zhiyuan Feng, Siqi He, Shannan Yan, Junzhe Chen, Xiaoming He, Chaoya Jiang, Wei Ye, Kaidong Yu, Xuelong Li
  
  ICLR 2026 | June 2025
  
  DOI Publication
- NetPress: Dynamically Generated LLM Benchmarks for Network Applications
  
  Yajie Zhou, Jiajun Ruan, Eric S. Wang, Sadjad Fouladi, Francis Y. Yan, Kevin Hsieh, Zaoxing Liu
  
  ICLR 2026 | June 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | May 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | May 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | May 2025
  
  Publication
- VeriTrail: Closed-Domain Hallucination Detection with Traceability
  
  Dasha Metropolitansky, Jonathan Larson
  
  ICLR 2026 | May 2025
  
  Publication 動画
- Token-Importance Guided Direct Preference Optimization
  
  Ning Yang, Hai Lin, Yibo Liu, Baoliang Tian, Guoqing Liu, Haijun Zhang
  
  ICLR 2026 | May 2025
  
  Publication
- 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
  
  ICLR 2026 | May 2025
  
  Publication
- ELEPHANT: Measuring and understanding social sycophancy in LLMs
  
  Myra Cheng, Sunny Yu, Cinoo Lee, Pranav Khadpe, Lujain Ibrahim, Dan Jurafsky
  
  ICLR 2026 | May 2025
  
  Publication
- 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
  
  ICLR 2026 | May 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | May 2025
  
  DOI Publication Publication
- LLMs Get Lost In Multi-Turn Conversation
  
  Philippe Laban, Hiroaki Hayashi, Yingbo Zhou, Jennifer Neville
  
  ICLR 2026 | May 2025
  
  Publication Github
- 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
  
  ICLR 2026 | March 2025
  
  DOI Publication
- Exploring Interpretability for Visual Prompt Tuning with Hierarchical Concepts
  
  Yubin Wang, Xinyang Jiang, De Cheng, Xiangqian Zhao, Zilong Wang, Dongsheng Li, Cairong Zhao
  
  ICLR 2026 | March 2025
  
  DOI Publication
- 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
  
  ICLR 2026 | February 2025
  
  Publication
- 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
  
  ICLR 2026 | February 2025
  
  DOI Publication
- Towards Efficient Optimizer Design for LLM via Structured Fisher Approximation with a Low-Rank Extension
  
  Wenbo Gong, Meyer Scetbon, Chao Ma, Edward Meeds
  
  ICLR 2026 | February 2025
  
  Publication
- 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
  
  ICLR 2026 | February 2025
  
  DOI Publication
- Combinatorial Rising Bandit
  
  Seockbean Song, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok
  
  ICLR 2026 | November 2024
  
  DOI Publication
- Refining Counterfactual Explanations With Joint-Distribution-Informed Shapley Towards Actionable Minimality
  
  Lei You, Yijun Bian, Lele Cao
  
  ICLR 2026 | October 2024
  
  DOI Publication
- Hey, That’s My Model! Introducing Chain & Hash, An LLM Fingerprinting Technique
  
  Mark Russinovich, Ahmed Salem, Yanan Cai
  
  ICLR 2026 | July 2024
  
  DOI Publication

Microsoft at ICLR 2026

出版物

Algorithm Generation via Creative Ideation

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

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

Parallel Sampling from Masked Diffusion Models via Conditional Independence Testing

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

Learning to Generate Unit Test via Adversarial Reinforcement Learning

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

From Easy to Hard++: Promoting Differentially Private Image Synthesis Through Spatial-Frequency Curriculum

NI Sampling: Accelerating Discrete Diffusion Sampling by Token Order Optimization

PE-SGD: Differentially Private Deep Learning via Evolution of Gradient Subspace for Text

Optimizing Agent Planning for Security and Autonomy

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

Welfarist Formulations for Diverse Similarity Search

Horizon Imagination: Efficient On-Policy Training in Diffusion World Models

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

Score Distillation Beyond Acceleration: Generative Modeling from Corrupted Data

SeerAttention-R: Sparse Attention Adaptation for Long Reasoning

Synergizing Understanding and Generation with Interleaved Analyzing-Drafting Thinking

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

Training Large Reasoning Models Efficiently via Progressive Thought Encoding

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

VibeVoice: Expressive Podcast Generation with Next-Token Diffusion

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

From Abstract to Contextual: What LLMs Still Cannot Do in Mathematics

AdaReasoner: Dynamic Tool Orchestration for Iterative Visual Reasoning

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

Dichotomous Diffusion Policy Optimization

Generalization of RLVR Using Causal Reasoning as a Testbed

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

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

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

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

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

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

Gistify! Codebase-Level Understanding via Runtime Execution

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

Sequences of Logits Reveal the Low Rank Structure of Language Models

AESCoder: Code Aesthetics with Agentic Reward Feedback

LoongRL: Reinforcement Learning for Advanced Reasoning over Long Contexts

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

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

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

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

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

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

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

Flipping the Dialogue: Training and Evaluating User Language Models

The Markovian Thinker

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

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

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

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

Wavelet Predictive Representations for Non-Stationary Reinforcement Learning

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

Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling

FlexiCodec: A Dynamic Neural Audio Codec for Low Frame Rates

Improving Code Localization with Repository Memory

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

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

Hyperspherical Latents Improve Continuous-Token Autoregressive Generation

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

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

In-Context Compositional Q-Learning for Offline Reinforcement Learning

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

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

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

CAD-Tokenizer: Towards Text-based CAD Prototyping via Modality-Specific Tokenization

Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving

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

FlowRL: Matching Reward Distributions for LLM Reasoning

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

UnLoc: Leveraging Depth Uncertainties for Floorplan Localization

Is In-Context Learning Learning?

Understanding and Improving Shampoo and SOAP via Kullback-Leibler Minimization

Any-Order Flexible Length Masked Diffusion

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

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

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