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July 13, 2025 – July 19, 2025

Microsoft at ICML 2025

Pacific Daylight Time (UTC-7)

위치: Vancouver, BC

출판물

자료 보기:

- Insights into a radiology-specialised multimodal large language model with sparse autoencoders
  
  Kenza Bouzid, Shruthi Bannur, Felix Meissen, Daniel Coelho de Castro, Anton Schwaighofer, Javier Alvarez-Valle, Stephanie Hyland
  
  Actionable Interpretability Workshop – ICML 2025 | July 2025
  
  DOI Publication Publication 프로젝트
- DistributedANN: Efficient Scaling of a Single DiskANN Graph Across Thousands of Computers
  
  Philip Adams, Menghao Li, Shi Zhang, Li Tan, Mingqin Li, Qi Chen, Knut Magne Risvik, Jason (Zengzhong) Li, Harsha Simhadri
  
  The 1st Workshop on Vector Databases at the 2025 International Conference on Machine Learning | July 2025
  
  PDF
- Minerva: A Programmable Memory Test Benchmark for Language Models
  
  Menglin Xia, Victor Ruehle, Saravan Rajmohan, Reza Shokri
  
  ICML 2025 | July 2025
  
  DOI Publication Publication 프로젝트
- MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention
  
  Yucheng Li, Huiqiang Jiang, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
  
  ICML 2025 | July 2025
  
  Preprint Github 프로젝트
- CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing
  
  Yu Yuan, Shizhao Sun, Qi Liu, Jiang Bian
  
  ICML 2025 | July 2025
  
  DOI Publication
- CollabLLM: From Passive Responders to Active Collaborators
  
  Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, J. Leskovec, Jianfeng Gao
  
  ICML 2025 | July 2025
  
  PDF Publication Github
- Graph-Based Algorithms for Diverse Similarity Search
  
  Piyush Anand, Piotr Indyk, Ravishankar Krishnaswamy, Sepideh Mahabadi, Vikas C. Raykar, Kiran Shiragur, Haike Xu
  
  ICML 2025 | July 2025
  
  Publication
- LongRoPE2: Near-Lossless LLM Context Window Scaling
  
  Ning Shang , Li Lyna Zhang, Siyuan Wang, Gaokai Zhang, Gilsinia Lopez, Fan Yang, Weizhu Chen, Mao Yang
  
  ICML 2025 | July 2025
  
  Publication
- MOGIC: Metadata-Infused Oracle Guidance for Improved Extreme Classification
  
  Suchith Chidananda Prabhu, Bhavyajeet Singh, Anshul Mittal, Siddarth Asokan, Shikhar Mohan, Deepak Saini, Yashoteja Prabhu, Lakshya Kumar, Jian Jiao, Amit Singh, Niket Tandon, Manish Gupta, Sumeet Agarwal, Manik Varma
  
  ICML 2025 | July 2025
  
  Publication
- NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits
  
  Tushar Aggarwal*, Swayam Singh*, Abhijeet Awasthi, Aditya Kanade, Nagarajan Natarajan
  
  ICML 2025 | July 2025
  
  Publication 액세스
- Offline Learning for Combinatorial Multi-armed Bandits
  
  Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
  
  Proceedings of the 42nd International Conference on Machine Learning (ICML) | July 2025
  
  PDF
- Implicit Language Models are RNNs: Balancing Parallelization and Expressivity
  
  Mark Schöne, Babak Rahmani, Heiner Kremer, Fabian Falck, Hitesh Ballani, Jannes Gladrow
  
  ICML 2025 | June 2025
  
  DOI Github 프로젝트
- A Meta-learner for Heterogeneous Effects in Difference-in-Differences
  
  Hui Lan, Haoge Chang, Eleanor Dillon, Vasilis Syrgkanis
  
  ICML 2025 | April 2025
  
  DOI
- ALMTokenizer: A Low-bitrate and Semantic-rich Audio Codec Tokenizer for Audio Language Modeling
  
  Dongchao Yang, Songxiang Liu, Haohan Guo, Jiankun Zhao, Yuanyuan Wang, Helin Wang, Zeqian Ju, Xubo Liu, Xueyuan Chen, Xu Tan, Xixin Wu, Helen M. Meng
  
  ICML 2025 | April 2025
  
  DOI
- Overcoming Vocabulary Mismatch: Vocabulary-agnostic Teacher Guided Language Modeling
  
  Haebin Shin, Lei Ji, Xiao Liu, Yeyun Gong
  
  ICML 2025 | March 2025
  
  DOI Publication Publication
- Re-Imagine: Symbolic Benchmark Synthesis for Reasoning Evaluation
  
  Xinnuo Xu, Rachel Lawrence, Kshitij Dubey, Atharva Pandey, Fabian Falck, Risa Ueno, Aditya Nori, Rahul Sharma, Amit Sharma, Javier González
  
  ICLR 2025 – Workshop on Reasoning and Planning for LLMs | March 2025
  
  Publication PDF
- DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs
  
  Jongwoo Ko, Tianyi Chen, Sungnyun Kim, Tianyu Ding, Luming Liang, Ilya Zharkov, SeYoung Yun
  
  ICML 2025 | March 2025
  
  DOI Publication Publication
- Compositional Causal Reasoning Evaluation in Language Models
  
  Jacqueline Maasch, Alihan Hüyük, Xinnuo Xu, Aditya Nori, Javier González
  
  ICML 2025 | March 2025
  
  DOI Publication Publication
- BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling
  
  Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Ren-He Jiang, R. Batista-Navarro, Goran Nenadic, Jiang Bian
  
  ICML 2025 | March 2025
  
  DOI Publication Publication
- AMPO: Active Multi-Preference Optimization
  
  Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- MPO: An Efficient Post-Processing Framework for Mixing Diverse Preference Alignment
  
  Tianze Wang, Dongnan Gui, Yifan Hu, Shuhang Lin, Linjun Zhang
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training
  
  Chao Ma, Wenbo Gong, Meyer Scetbon, Edward Meeds
  
  ICML 2025 | February 2025
  
  DOI
- RLTHF: Targeted Human Feedback for LLM Alignment
  
  Yifei Xu, Tusher Chakraborty, Emre Kiciman, Bibek Aryal, Eduardo Rodrigues, Srinagesh Sharma, Roberto Estevao, Maria Angels de Luis Balaguer, Jessica Wolk, Rafael Padilha, Leonardo Nunes, Shobana Balakrishna, Songwu Lu, Ranveer Chandra
  
  ICML’25 | February 2025
  
  PDF
- AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence
  
  Yuliang Liu, Junjie Lu, Zhaoling Chen, Chaofeng Qu, Jason Klein Liu, Chonghan Liu, Zefan Cai, Yunhui Xia, Li Zhao, Jiang Bian, Chuheng Zhang, Wei Shen, Zhouhan Lin
  
  ICML 2025 | February 2025
  
  DOI
- The Canary’s Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text
  
  Matthieu Meeus, Lukas Wutschitz, Santiago Zanella-Béguelin, Shruti Tople, Reza Shokri
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- Low-Rank Thinning
  
  A. M. Carrell, Albert Gong, Abhishek Shetty, Raaz Dwivedi, Lester Mackey
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- On the Query Complexity of Verifier-Assisted Language Generation
  
  Edoardo Botta, Yuchen Li, Aashay Mehta, Jordan Ash, Cyril Zhang, Andrej Risteski
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- Simplifying DINO via Coding Rate Regularization
  
  Ziyang Wu, Jingyuan Zhang, Druv Pai, XuDong Wang, Chandan Singh, Jianwei Yang, Jianfeng Gao, Yi Ma
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- Habitizing Diffusion Planning for Efficient and Effective Decision Making
  
  Haofei Lu, Yifei Shen, Dongsheng Li, Junliang Xing, Dongqi Han
  
  2025 International Conference on Machine Learning | February 2025
  
  Publication
- From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE Control
  
  Peiyan Hu, Xiaowei Qian, Wenhao Deng, Rui Wang, Haodong Feng, Ruiqi Feng, Tao Zhang, Long Wei, Yue Wang, Zhi-Ming Ma, Tailin Wu
  
  ICML 2025 | February 2025
  
  Publication
- Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity
  
  Erpai Luo, Xinran wei, Lin Huang, Yunyang Li, Han Yang, Zun Wang, Chang Liu, Zaishuo Xia, Jia Zhang, Bin Shao
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- When Do LLMs Help With Node Classification? A Comprehensive Analysis
  
  Xixi Wu, Yifei Shen, Fangzhou Ge, Caihua Shan, Yizhu Jiao, Xiangguo Sun, Hong Cheng
  
  ICML 2025 | February 2025
  
  Publication
- Position: Evaluating Generative AI Systems is a Social Science Measurement Challenge
  
  Hanna Wallach, Meera Desai, A. Feder Cooper, Angelina Wang, Chad Atalla, Solon Barocas, Su Lin Blodgett, Alex Chouldechova, Emily Corvi, Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Nick Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs
  
  ICML 2025 | January 2025
  
  Publication
- sciLaMA: A Single-Cell Representation Learning Framework to Leverage Prior Knowledge from Large Language Models
  
  Hongru Hu, Shuwen Zhang, Yongin Choi, Venkat S. Malladi, G. Quon
  
  ICML 2025 | January 2025
  
  DOI Publication
- Optimizing Large Language Model Training Using FP4 Quantization
  
  Ruizhe Wang, Yeyun Gong, Xiao Liu, Guoshuai Zhao, Ziyue Yang, Baining Guo, Zhengjun Zha, Peng Cheng
  
  ICML 2025 | January 2025
  
  DOI Publication Publication
- Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback
  
  Yafu Li, Xuyang Hu, Xiaoye Qu, Linjie Li, Yu Cheng
  
  ICML 2025 | January 2025
  
  DOI Publication Publication
- GaussMark: A Practical Approach for Structural Watermarking of Language Models
  
  Adam Block, Ayush Sekhari, Alexander Rakhlin
  
  ICML 2025 | January 2025
  
  DOI Publication Publication
- FlexiClip: Locality-Preserving Free-Form Character Animation
  
  Anant Khandelwal
  
  ICML 2025 | January 2025
  
  DOI Publication Publication
- Imagine while Reasoning in Space: Multimodal Visualization-of-Thought
  
  Chengzu Li, Wenshan Wu, Huanyu Zhang, Yan Xia, Shaoguang Mao, Li Dong, Ivan Vuli'c, Furu Wei
  
  ICML 2025 | January 2025
  
  DOI Publication Publication
- Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark
  
  Yunzhuo Hao, Jiawei Gu, Huichen Will Wang, Linjie Li, Zhengyuan Yang, Lijuan Wang, Yu Cheng
  
  ICML 2025 | January 2025
  
  DOI Publication Publication
- ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding
  
  Xingyu Fu, Minqian Liu, Zhengyuan Yang, John Corring, Yijuan Lu, Jianwei Yang, Dan Roth, Dinei Florencio, Cha Zhang
  
  ICML 2025 | January 2025
  
  DOI Publication Publication
- rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
  
  Xinyu Guan, Li Lyna Zhang, Yifei Liu, Ning Shang, Youran Sun, Yi Zhu, Fan Yang, Mao Yang
  
  ICML 2025 (oral) | January 2025
  
  Publication DOI Github
- EpiCoder: Encompassing Diversity and Complexity in Code Generation
  
  Yaoxiang Wang, Haoling Li, Xin Zhang, Jie Wu, Xiao Liu, Wenxiang Hu, Zhongxin Guo, Yangyu Huang, Ying Xin, Yujiu Yang, Jinsong Su, Qi Chen, Scarlett Li
  
  ICML 2025 | January 2025
  
  DOI Publication Publication
- Rethinking Aleatoric and Epistemic Uncertainty
  
  Freddie Bickford-Smith, Jannik Kossen, Eleanor Trollope, Mark van der Wilk, Adam Foster, Tom Rainforth
  
  ICML 2025 | December 2024
  
  DOI Publication Publication
- When Can Proxies Improve the Sample Complexity of Preference Learning?
  
  Yuchen Zhu, Daniel Augusto de Souza, Zhengyan Shi, Mengyue Yang, Pasquale Minervini, Alexander D'Amour, Matt J. Kusner
  
  ICML 2025 | December 2024
  
  DOI Publication Publication
- General framework for online-to-nonconvex conversion: Schedule-free SGD is also effective for nonconvex optimization
  
  Kwangjun Ahn, Gagik Magakyan, Ashok Cutkosky
  
  ICML 2025 | November 2024
  
  DOI Publication Publication
- Scaling Laws for Pre-training Agents and World Models
  
  Tim Pearce, Tabish Rashid, Dave Bignell, Raluca Stevenson, Sam Devlin, Katja Hofmann
  
  ICML 2025 | November 2024
  
  Preprint 프로젝트
- PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting
  
  Sung‐Jin Hong, Jaewoo Jung, Heeseong Shin, Jisang Han, Jiaolong Yang, Chong Luo, Seungryong Kim
  
  ICML 2025 | October 2024
  
  DOI Publication Publication
- Exploring Invariance in Images through One-way Wave Equations
  
  Yinpeng Chen, Dongdong Chen, Xiyang Dai, Mengchen Liu, Yinan Feng, Youzuo Lin, Lu Yuan, Zicheng Liu
  
  ICML 2025 | October 2024
  
  Publication
- POROver: Improving Safety and Reducing Overrefusal in Large Language Models with Overgeneration and Preference Optimization
  
  Batuhan K. Karaman, I. Zabir, Alon Benhaim, Vishrav Chaudhary, M. Sabuncu, Xia Song
  
  ICML 2025 | October 2024
  
  DOI Publication Publication
- Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale
  
  Rogerio Bonatti, Dan Zhao, Francesco Bonacci, Dillon Dupont, Sara Abdali, Yinheng Li, Yadong Lu, Justin Wagle, Kazuhito Koishida, A. Bucker, Lawrence Jang, Zack Hui
  
  ICML 2025 | September 2024
  
  DOI Publication Publication
- Policy Filtration for RLHF to Mitigate Noise in Reward Models
  
  Chuheng Zhang, Wei Shen, Li Zhao, Xuyun Zhang, Xiaolong Xu, Wanchun Dou, Jiang Bian
  
  ICML 2025 | September 2024
  
  Publication
- Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing
  
  Han Jiang, Xiaoyuan Yi, Zhihua Wei, Shu Wang, Xing Xie
  
  ICML 2025 | June 2024
  
  DOI Publication Publication
- DPO Meets PPO: Reinforced Token Optimization for RLHF
  
  Han Zhong, Guhao Feng, Wei Xiong, Li Zhao, Di He, Jiang Bian, Liwei Wang
  
  ICML 2025 | April 2024
  
  DOI Publication Publication

- Insights into a radiology-specialised multimodal large language model with sparse autoencoders
  
  Kenza Bouzid, Shruthi Bannur, Felix Meissen, Daniel Coelho de Castro, Anton Schwaighofer, Javier Alvarez-Valle, Stephanie Hyland
  
  Actionable Interpretability Workshop – ICML 2025 | July 2025
  
  DOI Publication Publication 프로젝트
- Minerva: A Programmable Memory Test Benchmark for Language Models
  
  Menglin Xia, Victor Ruehle, Saravan Rajmohan, Reza Shokri
  
  ICML 2025 | July 2025
  
  DOI Publication Publication 프로젝트
- MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention
  
  Yucheng Li, Huiqiang Jiang, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
  
  ICML 2025 | July 2025
  
  Preprint Github 프로젝트
- MOGIC: Metadata-Infused Oracle Guidance for Improved Extreme Classification
  
  Suchith Chidananda Prabhu, Bhavyajeet Singh, Anshul Mittal, Siddarth Asokan, Shikhar Mohan, Deepak Saini, Yashoteja Prabhu, Lakshya Kumar, Jian Jiao, Amit Singh, Niket Tandon, Manish Gupta, Sumeet Agarwal, Manik Varma
  
  ICML 2025 | July 2025
  
  Publication
- NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits
  
  Tushar Aggarwal*, Swayam Singh*, Abhijeet Awasthi, Aditya Kanade, Nagarajan Natarajan
  
  ICML 2025 | July 2025
  
  Publication 액세스
- CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing
  
  Yu Yuan, Shizhao Sun, Qi Liu, Jiang Bian
  
  ICML 2025 | July 2025
  
  DOI Publication
- Offline Learning for Combinatorial Multi-armed Bandits
  
  Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
  
  Proceedings of the 42nd International Conference on Machine Learning (ICML) | July 2025
  
  PDF
- LongRoPE2: Near-Lossless LLM Context Window Scaling
  
  Ning Shang , Li Lyna Zhang, Siyuan Wang, Gaokai Zhang, Gilsinia Lopez, Fan Yang, Weizhu Chen, Mao Yang
  
  ICML 2025 | July 2025
  
  Publication
- CollabLLM: From Passive Responders to Active Collaborators
  
  Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, J. Leskovec, Jianfeng Gao
  
  ICML 2025 | July 2025
  
  PDF Publication Github
- Implicit Language Models are RNNs: Balancing Parallelization and Expressivity
  
  Mark Schöne, Babak Rahmani, Heiner Kremer, Fabian Falck, Hitesh Ballani, Jannes Gladrow
  
  ICML 2025 | June 2025
  
  DOI Github 프로젝트
- A Meta-learner for Heterogeneous Effects in Difference-in-Differences
  
  Hui Lan, Haoge Chang, Eleanor Dillon, Vasilis Syrgkanis
  
  ICML 2025 | April 2025
  
  DOI
- ALMTokenizer: A Low-bitrate and Semantic-rich Audio Codec Tokenizer for Audio Language Modeling
  
  Dongchao Yang, Songxiang Liu, Haohan Guo, Jiankun Zhao, Yuanyuan Wang, Helin Wang, Zeqian Ju, Xubo Liu, Xueyuan Chen, Xu Tan, Xixin Wu, Helen M. Meng
  
  ICML 2025 | April 2025
  
  DOI
- Overcoming Vocabulary Mismatch: Vocabulary-agnostic Teacher Guided Language Modeling
  
  Haebin Shin, Lei Ji, Xiao Liu, Yeyun Gong
  
  ICML 2025 | March 2025
  
  DOI Publication Publication
- Re-Imagine: Symbolic Benchmark Synthesis for Reasoning Evaluation
  
  Xinnuo Xu, Rachel Lawrence, Kshitij Dubey, Atharva Pandey, Fabian Falck, Risa Ueno, Aditya Nori, Rahul Sharma, Amit Sharma, Javier González
  
  ICLR 2025 – Workshop on Reasoning and Planning for LLMs | March 2025
  
  Publication PDF
- DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs
  
  Jongwoo Ko, Tianyi Chen, Sungnyun Kim, Tianyu Ding, Luming Liang, Ilya Zharkov, SeYoung Yun
  
  ICML 2025 | March 2025
  
  DOI Publication Publication
- Compositional Causal Reasoning Evaluation in Language Models
  
  Jacqueline Maasch, Alihan Hüyük, Xinnuo Xu, Aditya Nori, Javier González
  
  ICML 2025 | March 2025
  
  DOI Publication Publication
- BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling
  
  Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Ren-He Jiang, R. Batista-Navarro, Goran Nenadic, Jiang Bian
  
  ICML 2025 | March 2025
  
  DOI Publication Publication
- AMPO: Active Multi-Preference Optimization
  
  Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- MPO: An Efficient Post-Processing Framework for Mixing Diverse Preference Alignment
  
  Tianze Wang, Dongnan Gui, Yifan Hu, Shuhang Lin, Linjun Zhang
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training
  
  Chao Ma, Wenbo Gong, Meyer Scetbon, Edward Meeds
  
  ICML 2025 | February 2025
  
  DOI
- RLTHF: Targeted Human Feedback for LLM Alignment
  
  Yifei Xu, Tusher Chakraborty, Emre Kiciman, Bibek Aryal, Eduardo Rodrigues, Srinagesh Sharma, Roberto Estevao, Maria Angels de Luis Balaguer, Jessica Wolk, Rafael Padilha, Leonardo Nunes, Shobana Balakrishna, Songwu Lu, Ranveer Chandra
  
  ICML’25 | February 2025
  
  PDF
- AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence
  
  Yuliang Liu, Junjie Lu, Zhaoling Chen, Chaofeng Qu, Jason Klein Liu, Chonghan Liu, Zefan Cai, Yunhui Xia, Li Zhao, Jiang Bian, Chuheng Zhang, Wei Shen, Zhouhan Lin
  
  ICML 2025 | February 2025
  
  DOI
- The Canary’s Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text
  
  Matthieu Meeus, Lukas Wutschitz, Santiago Zanella-Béguelin, Shruti Tople, Reza Shokri
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- Low-Rank Thinning
  
  A. M. Carrell, Albert Gong, Abhishek Shetty, Raaz Dwivedi, Lester Mackey
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- On the Query Complexity of Verifier-Assisted Language Generation
  
  Edoardo Botta, Yuchen Li, Aashay Mehta, Jordan Ash, Cyril Zhang, Andrej Risteski
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- Simplifying DINO via Coding Rate Regularization
  
  Ziyang Wu, Jingyuan Zhang, Druv Pai, XuDong Wang, Chandan Singh, Jianwei Yang, Jianfeng Gao, Yi Ma
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- Habitizing Diffusion Planning for Efficient and Effective Decision Making
  
  Haofei Lu, Yifei Shen, Dongsheng Li, Junliang Xing, Dongqi Han
  
  2025 International Conference on Machine Learning | February 2025
  
  Publication
- From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE Control
  
  Peiyan Hu, Xiaowei Qian, Wenhao Deng, Rui Wang, Haodong Feng, Ruiqi Feng, Tao Zhang, Long Wei, Yue Wang, Zhi-Ming Ma, Tailin Wu
  
  ICML 2025 | February 2025
  
  Publication
- Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity
  
  Erpai Luo, Xinran wei, Lin Huang, Yunyang Li, Han Yang, Zun Wang, Chang Liu, Zaishuo Xia, Jia Zhang, Bin Shao
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- When Do LLMs Help With Node Classification? A Comprehensive Analysis
  
  Xixi Wu, Yifei Shen, Fangzhou Ge, Caihua Shan, Yizhu Jiao, Xiangguo Sun, Hong Cheng
  
  ICML 2025 | February 2025
  
  Publication
- sciLaMA: A Single-Cell Representation Learning Framework to Leverage Prior Knowledge from Large Language Models
  
  Hongru Hu, Shuwen Zhang, Yongin Choi, Venkat S. Malladi, G. Quon
  
  ICML 2025 | January 2025
  
  DOI Publication
- Position: Evaluating Generative AI Systems is a Social Science Measurement Challenge
  
  Hanna Wallach, Meera Desai, A. Feder Cooper, Angelina Wang, Chad Atalla, Solon Barocas, Su Lin Blodgett, Alex Chouldechova, Emily Corvi, Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Nick Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs
  
  ICML 2025 | January 2025
  
  Publication
- Optimizing Large Language Model Training Using FP4 Quantization
  
  Ruizhe Wang, Yeyun Gong, Xiao Liu, Guoshuai Zhao, Ziyue Yang, Baining Guo, Zhengjun Zha, Peng Cheng
  
  ICML 2025 | January 2025
  
  DOI Publication Publication
- Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback
  
  Yafu Li, Xuyang Hu, Xiaoye Qu, Linjie Li, Yu Cheng
  
  ICML 2025 | January 2025
  
  DOI Publication Publication
- GaussMark: A Practical Approach for Structural Watermarking of Language Models
  
  Adam Block, Ayush Sekhari, Alexander Rakhlin
  
  ICML 2025 | January 2025
  
  DOI Publication Publication
- FlexiClip: Locality-Preserving Free-Form Character Animation
  
  Anant Khandelwal
  
  ICML 2025 | January 2025
  
  DOI Publication Publication
- Imagine while Reasoning in Space: Multimodal Visualization-of-Thought
  
  Chengzu Li, Wenshan Wu, Huanyu Zhang, Yan Xia, Shaoguang Mao, Li Dong, Ivan Vuli'c, Furu Wei
  
  ICML 2025 | January 2025
  
  DOI Publication Publication
- Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark
  
  Yunzhuo Hao, Jiawei Gu, Huichen Will Wang, Linjie Li, Zhengyuan Yang, Lijuan Wang, Yu Cheng
  
  ICML 2025 | January 2025
  
  DOI Publication Publication
- ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding
  
  Xingyu Fu, Minqian Liu, Zhengyuan Yang, John Corring, Yijuan Lu, Jianwei Yang, Dan Roth, Dinei Florencio, Cha Zhang
  
  ICML 2025 | January 2025
  
  DOI Publication Publication
- rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
  
  Xinyu Guan, Li Lyna Zhang, Yifei Liu, Ning Shang, Youran Sun, Yi Zhu, Fan Yang, Mao Yang
  
  ICML 2025 (oral) | January 2025
  
  Publication DOI Github
- EpiCoder: Encompassing Diversity and Complexity in Code Generation
  
  Yaoxiang Wang, Haoling Li, Xin Zhang, Jie Wu, Xiao Liu, Wenxiang Hu, Zhongxin Guo, Yangyu Huang, Ying Xin, Yujiu Yang, Jinsong Su, Qi Chen, Scarlett Li
  
  ICML 2025 | January 2025
  
  DOI Publication Publication
- Rethinking Aleatoric and Epistemic Uncertainty
  
  Freddie Bickford-Smith, Jannik Kossen, Eleanor Trollope, Mark van der Wilk, Adam Foster, Tom Rainforth
  
  ICML 2025 | December 2024
  
  DOI Publication Publication
- When Can Proxies Improve the Sample Complexity of Preference Learning?
  
  Yuchen Zhu, Daniel Augusto de Souza, Zhengyan Shi, Mengyue Yang, Pasquale Minervini, Alexander D'Amour, Matt J. Kusner
  
  ICML 2025 | December 2024
  
  DOI Publication Publication
- General framework for online-to-nonconvex conversion: Schedule-free SGD is also effective for nonconvex optimization
  
  Kwangjun Ahn, Gagik Magakyan, Ashok Cutkosky
  
  ICML 2025 | November 2024
  
  DOI Publication Publication
- Scaling Laws for Pre-training Agents and World Models
  
  Tim Pearce, Tabish Rashid, Dave Bignell, Raluca Stevenson, Sam Devlin, Katja Hofmann
  
  ICML 2025 | November 2024
  
  Preprint 프로젝트
- PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting
  
  Sung‐Jin Hong, Jaewoo Jung, Heeseong Shin, Jisang Han, Jiaolong Yang, Chong Luo, Seungryong Kim
  
  ICML 2025 | October 2024
  
  DOI Publication Publication
- Exploring Invariance in Images through One-way Wave Equations
  
  Yinpeng Chen, Dongdong Chen, Xiyang Dai, Mengchen Liu, Yinan Feng, Youzuo Lin, Lu Yuan, Zicheng Liu
  
  ICML 2025 | October 2024
  
  Publication
- POROver: Improving Safety and Reducing Overrefusal in Large Language Models with Overgeneration and Preference Optimization
  
  Batuhan K. Karaman, I. Zabir, Alon Benhaim, Vishrav Chaudhary, M. Sabuncu, Xia Song
  
  ICML 2025 | October 2024
  
  DOI Publication Publication
- Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale
  
  Rogerio Bonatti, Dan Zhao, Francesco Bonacci, Dillon Dupont, Sara Abdali, Yinheng Li, Yadong Lu, Justin Wagle, Kazuhito Koishida, A. Bucker, Lawrence Jang, Zack Hui
  
  ICML 2025 | September 2024
  
  DOI Publication Publication
- Policy Filtration for RLHF to Mitigate Noise in Reward Models
  
  Chuheng Zhang, Wei Shen, Li Zhao, Xuyun Zhang, Xiaolong Xu, Wanchun Dou, Jiang Bian
  
  ICML 2025 | September 2024
  
  Publication
- Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing
  
  Han Jiang, Xiaoyuan Yi, Zhihua Wei, Shu Wang, Xing Xie
  
  ICML 2025 | June 2024
  
  DOI Publication Publication
- DPO Meets PPO: Reinforced Token Optimization for RLHF
  
  Han Zhong, Guhao Feng, Wei Xiong, Li Zhao, Di He, Jiang Bian, Liwei Wang
  
  ICML 2025 | April 2024
  
  DOI Publication Publication
- Insights into a radiology-specialised multimodal large language model with sparse autoencoders
  
  Kenza Bouzid, Shruthi Bannur, Felix Meissen, Daniel Coelho de Castro, Anton Schwaighofer, Javier Alvarez-Valle, Stephanie Hyland
  
  Actionable Interpretability Workshop – ICML 2025 | July 2025
  
  DOI Publication Publication 프로젝트
- DistributedANN: Efficient Scaling of a Single DiskANN Graph Across Thousands of Computers
  
  Philip Adams, Menghao Li, Shi Zhang, Li Tan, Mingqin Li, Qi Chen, Knut Magne Risvik, Jason (Zengzhong) Li, Harsha Simhadri
  
  The 1st Workshop on Vector Databases at the 2025 International Conference on Machine Learning | July 2025
  
  PDF
- MOGIC: Metadata-Infused Oracle Guidance for Improved Extreme Classification
  
  Suchith Chidananda Prabhu, Bhavyajeet Singh, Anshul Mittal, Siddarth Asokan, Shikhar Mohan, Deepak Saini, Yashoteja Prabhu, Lakshya Kumar, Jian Jiao, Amit Singh, Niket Tandon, Manish Gupta, Sumeet Agarwal, Manik Varma
  
  ICML 2025 | July 2025
  
  Publication
- Graph-Based Algorithms for Diverse Similarity Search
  
  Piyush Anand, Piotr Indyk, Ravishankar Krishnaswamy, Sepideh Mahabadi, Vikas C. Raykar, Kiran Shiragur, Haike Xu
  
  ICML 2025 | July 2025
  
  Publication
- FlexiClip: Locality-Preserving Free-Form Character Animation
  
  Anant Khandelwal
  
  ICML 2025 | January 2025
  
  DOI Publication Publication
- Exploring Invariance in Images through One-way Wave Equations
  
  Yinpeng Chen, Dongdong Chen, Xiyang Dai, Mengchen Liu, Yinan Feng, Youzuo Lin, Lu Yuan, Zicheng Liu
  
  ICML 2025 | October 2024
  
  Publication
- ALMTokenizer: A Low-bitrate and Semantic-rich Audio Codec Tokenizer for Audio Language Modeling
  
  Dongchao Yang, Songxiang Liu, Haohan Guo, Jiankun Zhao, Yuanyuan Wang, Helin Wang, Zeqian Ju, Xubo Liu, Xueyuan Chen, Xu Tan, Xixin Wu, Helen M. Meng
  
  ICML 2025 | April 2025
  
  DOI
- CollabLLM: From Passive Responders to Active Collaborators
  
  Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, J. Leskovec, Jianfeng Gao
  
  ICML 2025 | July 2025
  
  PDF Publication Github
- MPO: An Efficient Post-Processing Framework for Mixing Diverse Preference Alignment
  
  Tianze Wang, Dongnan Gui, Yifan Hu, Shuhang Lin, Linjun Zhang
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- Offline Learning for Combinatorial Multi-armed Bandits
  
  Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
  
  Proceedings of the 42nd International Conference on Machine Learning (ICML) | July 2025
  
  PDF
- Graph-Based Algorithms for Diverse Similarity Search
  
  Piyush Anand, Piotr Indyk, Ravishankar Krishnaswamy, Sepideh Mahabadi, Vikas C. Raykar, Kiran Shiragur, Haike Xu
  
  ICML 2025 | July 2025
  
  Publication
- On the Query Complexity of Verifier-Assisted Language Generation
  
  Edoardo Botta, Yuchen Li, Aashay Mehta, Jordan Ash, Cyril Zhang, Andrej Risteski
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits
  
  Tushar Aggarwal*, Swayam Singh*, Abhijeet Awasthi, Aditya Kanade, Nagarajan Natarajan
  
  ICML 2025 | July 2025
  
  Publication 액세스
- CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing
  
  Yu Yuan, Shizhao Sun, Qi Liu, Jiang Bian
  
  ICML 2025 | July 2025
  
  DOI Publication
- Simplifying DINO via Coding Rate Regularization
  
  Ziyang Wu, Jingyuan Zhang, Druv Pai, XuDong Wang, Chandan Singh, Jianwei Yang, Jianfeng Gao, Yi Ma
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- LongRoPE2: Near-Lossless LLM Context Window Scaling
  
  Ning Shang , Li Lyna Zhang, Siyuan Wang, Gaokai Zhang, Gilsinia Lopez, Fan Yang, Weizhu Chen, Mao Yang
  
  ICML 2025 | July 2025
  
  Publication
- MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention
  
  Yucheng Li, Huiqiang Jiang, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
  
  ICML 2025 | July 2025
  
  Preprint Github 프로젝트
- CollabLLM: From Passive Responders to Active Collaborators
  
  Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, J. Leskovec, Jianfeng Gao
  
  ICML 2025 | July 2025
  
  PDF Publication Github
- rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
  
  Xinyu Guan, Li Lyna Zhang, Yifei Liu, Ning Shang, Youran Sun, Yi Zhu, Fan Yang, Mao Yang
  
  ICML 2025 (oral) | January 2025
  
  Publication DOI Github
- Position: Evaluating Generative AI Systems is a Social Science Measurement Challenge
  
  Hanna Wallach, Meera Desai, A. Feder Cooper, Angelina Wang, Chad Atalla, Solon Barocas, Su Lin Blodgett, Alex Chouldechova, Emily Corvi, Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Nick Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs
  
  ICML 2025 | January 2025
  
  Publication

- Insights into a radiology-specialised multimodal large language model with sparse autoencoders
  
  Kenza Bouzid, Shruthi Bannur, Felix Meissen, Daniel Coelho de Castro, Anton Schwaighofer, Javier Alvarez-Valle, Stephanie Hyland
  
  Actionable Interpretability Workshop – ICML 2025 | July 2025
  
  DOI Publication Publication 프로젝트
- DistributedANN: Efficient Scaling of a Single DiskANN Graph Across Thousands of Computers
  
  Philip Adams, Menghao Li, Shi Zhang, Li Tan, Mingqin Li, Qi Chen, Knut Magne Risvik, Jason (Zengzhong) Li, Harsha Simhadri
  
  The 1st Workshop on Vector Databases at the 2025 International Conference on Machine Learning | July 2025
  
  PDF
- Minerva: A Programmable Memory Test Benchmark for Language Models
  
  Menglin Xia, Victor Ruehle, Saravan Rajmohan, Reza Shokri
  
  ICML 2025 | July 2025
  
  DOI Publication Publication 프로젝트
- MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention
  
  Yucheng Li, Huiqiang Jiang, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu
  
  ICML 2025 | July 2025
  
  Preprint Github 프로젝트
- MOGIC: Metadata-Infused Oracle Guidance for Improved Extreme Classification
  
  Suchith Chidananda Prabhu, Bhavyajeet Singh, Anshul Mittal, Siddarth Asokan, Shikhar Mohan, Deepak Saini, Yashoteja Prabhu, Lakshya Kumar, Jian Jiao, Amit Singh, Niket Tandon, Manish Gupta, Sumeet Agarwal, Manik Varma
  
  ICML 2025 | July 2025
  
  Publication
- NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits
  
  Tushar Aggarwal*, Swayam Singh*, Abhijeet Awasthi, Aditya Kanade, Nagarajan Natarajan
  
  ICML 2025 | July 2025
  
  Publication 액세스
- CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing
  
  Yu Yuan, Shizhao Sun, Qi Liu, Jiang Bian
  
  ICML 2025 | July 2025
  
  DOI Publication
- Offline Learning for Combinatorial Multi-armed Bandits
  
  Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
  
  Proceedings of the 42nd International Conference on Machine Learning (ICML) | July 2025
  
  PDF
- LongRoPE2: Near-Lossless LLM Context Window Scaling
  
  Ning Shang , Li Lyna Zhang, Siyuan Wang, Gaokai Zhang, Gilsinia Lopez, Fan Yang, Weizhu Chen, Mao Yang
  
  ICML 2025 | July 2025
  
  Publication
- Graph-Based Algorithms for Diverse Similarity Search
  
  Piyush Anand, Piotr Indyk, Ravishankar Krishnaswamy, Sepideh Mahabadi, Vikas C. Raykar, Kiran Shiragur, Haike Xu
  
  ICML 2025 | July 2025
  
  Publication
- CollabLLM: From Passive Responders to Active Collaborators
  
  Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, J. Leskovec, Jianfeng Gao
  
  ICML 2025 | July 2025
  
  PDF Publication Github
- Implicit Language Models are RNNs: Balancing Parallelization and Expressivity
  
  Mark Schöne, Babak Rahmani, Heiner Kremer, Fabian Falck, Hitesh Ballani, Jannes Gladrow
  
  ICML 2025 | June 2025
  
  DOI Github 프로젝트
- A Meta-learner for Heterogeneous Effects in Difference-in-Differences
  
  Hui Lan, Haoge Chang, Eleanor Dillon, Vasilis Syrgkanis
  
  ICML 2025 | April 2025
  
  DOI
- ALMTokenizer: A Low-bitrate and Semantic-rich Audio Codec Tokenizer for Audio Language Modeling
  
  Dongchao Yang, Songxiang Liu, Haohan Guo, Jiankun Zhao, Yuanyuan Wang, Helin Wang, Zeqian Ju, Xubo Liu, Xueyuan Chen, Xu Tan, Xixin Wu, Helen M. Meng
  
  ICML 2025 | April 2025
  
  DOI
- Overcoming Vocabulary Mismatch: Vocabulary-agnostic Teacher Guided Language Modeling
  
  Haebin Shin, Lei Ji, Xiao Liu, Yeyun Gong
  
  ICML 2025 | March 2025
  
  DOI Publication Publication
- Re-Imagine: Symbolic Benchmark Synthesis for Reasoning Evaluation
  
  Xinnuo Xu, Rachel Lawrence, Kshitij Dubey, Atharva Pandey, Fabian Falck, Risa Ueno, Aditya Nori, Rahul Sharma, Amit Sharma, Javier González
  
  ICLR 2025 – Workshop on Reasoning and Planning for LLMs | March 2025
  
  Publication PDF
- DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs
  
  Jongwoo Ko, Tianyi Chen, Sungnyun Kim, Tianyu Ding, Luming Liang, Ilya Zharkov, SeYoung Yun
  
  ICML 2025 | March 2025
  
  DOI Publication Publication
- Compositional Causal Reasoning Evaluation in Language Models
  
  Jacqueline Maasch, Alihan Hüyük, Xinnuo Xu, Aditya Nori, Javier González
  
  ICML 2025 | March 2025
  
  DOI Publication Publication
- BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling
  
  Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Ren-He Jiang, R. Batista-Navarro, Goran Nenadic, Jiang Bian
  
  ICML 2025 | March 2025
  
  DOI Publication Publication
- AMPO: Active Multi-Preference Optimization
  
  Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- MPO: An Efficient Post-Processing Framework for Mixing Diverse Preference Alignment
  
  Tianze Wang, Dongnan Gui, Yifan Hu, Shuhang Lin, Linjun Zhang
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training
  
  Chao Ma, Wenbo Gong, Meyer Scetbon, Edward Meeds
  
  ICML 2025 | February 2025
  
  DOI
- RLTHF: Targeted Human Feedback for LLM Alignment
  
  Yifei Xu, Tusher Chakraborty, Emre Kiciman, Bibek Aryal, Eduardo Rodrigues, Srinagesh Sharma, Roberto Estevao, Maria Angels de Luis Balaguer, Jessica Wolk, Rafael Padilha, Leonardo Nunes, Shobana Balakrishna, Songwu Lu, Ranveer Chandra
  
  ICML’25 | February 2025
  
  PDF
- AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence
  
  Yuliang Liu, Junjie Lu, Zhaoling Chen, Chaofeng Qu, Jason Klein Liu, Chonghan Liu, Zefan Cai, Yunhui Xia, Li Zhao, Jiang Bian, Chuheng Zhang, Wei Shen, Zhouhan Lin
  
  ICML 2025 | February 2025
  
  DOI
- The Canary’s Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text
  
  Matthieu Meeus, Lukas Wutschitz, Santiago Zanella-Béguelin, Shruti Tople, Reza Shokri
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- Low-Rank Thinning
  
  A. M. Carrell, Albert Gong, Abhishek Shetty, Raaz Dwivedi, Lester Mackey
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- On the Query Complexity of Verifier-Assisted Language Generation
  
  Edoardo Botta, Yuchen Li, Aashay Mehta, Jordan Ash, Cyril Zhang, Andrej Risteski
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- Simplifying DINO via Coding Rate Regularization
  
  Ziyang Wu, Jingyuan Zhang, Druv Pai, XuDong Wang, Chandan Singh, Jianwei Yang, Jianfeng Gao, Yi Ma
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- Habitizing Diffusion Planning for Efficient and Effective Decision Making
  
  Haofei Lu, Yifei Shen, Dongsheng Li, Junliang Xing, Dongqi Han
  
  2025 International Conference on Machine Learning | February 2025
  
  Publication
- From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE Control
  
  Peiyan Hu, Xiaowei Qian, Wenhao Deng, Rui Wang, Haodong Feng, Ruiqi Feng, Tao Zhang, Long Wei, Yue Wang, Zhi-Ming Ma, Tailin Wu
  
  ICML 2025 | February 2025
  
  Publication
- Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity
  
  Erpai Luo, Xinran wei, Lin Huang, Yunyang Li, Han Yang, Zun Wang, Chang Liu, Zaishuo Xia, Jia Zhang, Bin Shao
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- When Do LLMs Help With Node Classification? A Comprehensive Analysis
  
  Xixi Wu, Yifei Shen, Fangzhou Ge, Caihua Shan, Yizhu Jiao, Xiangguo Sun, Hong Cheng
  
  ICML 2025 | February 2025
  
  Publication
- sciLaMA: A Single-Cell Representation Learning Framework to Leverage Prior Knowledge from Large Language Models
  
  Hongru Hu, Shuwen Zhang, Yongin Choi, Venkat S. Malladi, G. Quon
  
  ICML 2025 | January 2025
  
  DOI Publication
- Position: Evaluating Generative AI Systems is a Social Science Measurement Challenge
  
  Hanna Wallach, Meera Desai, A. Feder Cooper, Angelina Wang, Chad Atalla, Solon Barocas, Su Lin Blodgett, Alex Chouldechova, Emily Corvi, Alex Dow, Jean Garcia-Gathright, Alexandra Olteanu, Nick Pangakis, Stefanie Reed, Emily Sheng, Dan Vann, Jennifer Wortman Vaughan, Matthew Vogel, Hannah Washington, Abigail Z. Jacobs
  
  ICML 2025 | January 2025
  
  Publication
- Optimizing Large Language Model Training Using FP4 Quantization
  
  Ruizhe Wang, Yeyun Gong, Xiao Liu, Guoshuai Zhao, Ziyue Yang, Baining Guo, Zhengjun Zha, Peng Cheng
  
  ICML 2025 | January 2025
  
  DOI Publication Publication
- Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback
  
  Yafu Li, Xuyang Hu, Xiaoye Qu, Linjie Li, Yu Cheng
  
  ICML 2025 | January 2025
  
  DOI Publication Publication
- GaussMark: A Practical Approach for Structural Watermarking of Language Models
  
  Adam Block, Ayush Sekhari, Alexander Rakhlin
  
  ICML 2025 | January 2025
  
  DOI Publication Publication
- FlexiClip: Locality-Preserving Free-Form Character Animation
  
  Anant Khandelwal
  
  ICML 2025 | January 2025
  
  DOI Publication Publication
- Imagine while Reasoning in Space: Multimodal Visualization-of-Thought
  
  Chengzu Li, Wenshan Wu, Huanyu Zhang, Yan Xia, Shaoguang Mao, Li Dong, Ivan Vuli'c, Furu Wei
  
  ICML 2025 | January 2025
  
  DOI Publication Publication
- Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark
  
  Yunzhuo Hao, Jiawei Gu, Huichen Will Wang, Linjie Li, Zhengyuan Yang, Lijuan Wang, Yu Cheng
  
  ICML 2025 | January 2025
  
  DOI Publication Publication
- ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding
  
  Xingyu Fu, Minqian Liu, Zhengyuan Yang, John Corring, Yijuan Lu, Jianwei Yang, Dan Roth, Dinei Florencio, Cha Zhang
  
  ICML 2025 | January 2025
  
  DOI Publication Publication
- rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
  
  Xinyu Guan, Li Lyna Zhang, Yifei Liu, Ning Shang, Youran Sun, Yi Zhu, Fan Yang, Mao Yang
  
  ICML 2025 (oral) | January 2025
  
  Publication DOI Github
- EpiCoder: Encompassing Diversity and Complexity in Code Generation
  
  Yaoxiang Wang, Haoling Li, Xin Zhang, Jie Wu, Xiao Liu, Wenxiang Hu, Zhongxin Guo, Yangyu Huang, Ying Xin, Yujiu Yang, Jinsong Su, Qi Chen, Scarlett Li
  
  ICML 2025 | January 2025
  
  DOI Publication Publication
- Rethinking Aleatoric and Epistemic Uncertainty
  
  Freddie Bickford-Smith, Jannik Kossen, Eleanor Trollope, Mark van der Wilk, Adam Foster, Tom Rainforth
  
  ICML 2025 | December 2024
  
  DOI Publication Publication
- When Can Proxies Improve the Sample Complexity of Preference Learning?
  
  Yuchen Zhu, Daniel Augusto de Souza, Zhengyan Shi, Mengyue Yang, Pasquale Minervini, Alexander D'Amour, Matt J. Kusner
  
  ICML 2025 | December 2024
  
  DOI Publication Publication
- General framework for online-to-nonconvex conversion: Schedule-free SGD is also effective for nonconvex optimization
  
  Kwangjun Ahn, Gagik Magakyan, Ashok Cutkosky
  
  ICML 2025 | November 2024
  
  DOI Publication Publication
- Scaling Laws for Pre-training Agents and World Models
  
  Tim Pearce, Tabish Rashid, Dave Bignell, Raluca Stevenson, Sam Devlin, Katja Hofmann
  
  ICML 2025 | November 2024
  
  Preprint 프로젝트
- PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting
  
  Sung‐Jin Hong, Jaewoo Jung, Heeseong Shin, Jisang Han, Jiaolong Yang, Chong Luo, Seungryong Kim
  
  ICML 2025 | October 2024
  
  DOI Publication Publication
- Exploring Invariance in Images through One-way Wave Equations
  
  Yinpeng Chen, Dongdong Chen, Xiyang Dai, Mengchen Liu, Yinan Feng, Youzuo Lin, Lu Yuan, Zicheng Liu
  
  ICML 2025 | October 2024
  
  Publication
- POROver: Improving Safety and Reducing Overrefusal in Large Language Models with Overgeneration and Preference Optimization
  
  Batuhan K. Karaman, I. Zabir, Alon Benhaim, Vishrav Chaudhary, M. Sabuncu, Xia Song
  
  ICML 2025 | October 2024
  
  DOI Publication Publication
- Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale
  
  Rogerio Bonatti, Dan Zhao, Francesco Bonacci, Dillon Dupont, Sara Abdali, Yinheng Li, Yadong Lu, Justin Wagle, Kazuhito Koishida, A. Bucker, Lawrence Jang, Zack Hui
  
  ICML 2025 | September 2024
  
  DOI Publication Publication
- Policy Filtration for RLHF to Mitigate Noise in Reward Models
  
  Chuheng Zhang, Wei Shen, Li Zhao, Xuyun Zhang, Xiaolong Xu, Wanchun Dou, Jiang Bian
  
  ICML 2025 | September 2024
  
  Publication
- Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing
  
  Han Jiang, Xiaoyuan Yi, Zhihua Wei, Shu Wang, Xing Xie
  
  ICML 2025 | June 2024
  
  DOI Publication Publication
- DPO Meets PPO: Reinforced Token Optimization for RLHF
  
  Han Zhong, Guhao Feng, Wei Xiong, Li Zhao, Di He, Jiang Bian, Liwei Wang
  
  ICML 2025 | April 2024
  
  DOI Publication Publication

Microsoft at ICML 2025

출판물

Insights into a radiology-specialised multimodal large language model with sparse autoencoders

DistributedANN: Efficient Scaling of a Single DiskANN Graph Across Thousands of Computers

Minerva: A Programmable Memory Test Benchmark for Language Models

MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention

CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing

CollabLLM: From Passive Responders to Active Collaborators

Graph-Based Algorithms for Diverse Similarity Search

LongRoPE2: Near-Lossless LLM Context Window Scaling

MOGIC: Metadata-Infused Oracle Guidance for Improved Extreme Classification

NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits

Offline Learning for Combinatorial Multi-armed Bandits

Implicit Language Models are RNNs: Balancing Parallelization and Expressivity

A Meta-learner for Heterogeneous Effects in Difference-in-Differences

ALMTokenizer: A Low-bitrate and Semantic-rich Audio Codec Tokenizer for Audio Language Modeling

Overcoming Vocabulary Mismatch: Vocabulary-agnostic Teacher Guided Language Modeling

Re-Imagine: Symbolic Benchmark Synthesis for Reasoning Evaluation

DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs

Compositional Causal Reasoning Evaluation in Language Models

BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling

AMPO: Active Multi-Preference Optimization

MPO: An Efficient Post-Processing Framework for Mixing Diverse Preference Alignment

SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training

RLTHF: Targeted Human Feedback for LLM Alignment

AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence

The Canary’s Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text

Low-Rank Thinning

On the Query Complexity of Verifier-Assisted Language Generation

Simplifying DINO via Coding Rate Regularization

Habitizing Diffusion Planning for Efficient and Effective Decision Making

From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE Control

Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity

When Do LLMs Help With Node Classification? A Comprehensive Analysis

Position: Evaluating Generative AI Systems is a Social Science Measurement Challenge

sciLaMA: A Single-Cell Representation Learning Framework to Leverage Prior Knowledge from Large Language Models

Optimizing Large Language Model Training Using FP4 Quantization

Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback

GaussMark: A Practical Approach for Structural Watermarking of Language Models

FlexiClip: Locality-Preserving Free-Form Character Animation

Imagine while Reasoning in Space: Multimodal Visualization-of-Thought

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

ReFocus: Visual Editing as a Chain of Thought for Structured Image Understanding

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

EpiCoder: Encompassing Diversity and Complexity in Code Generation

Rethinking Aleatoric and Epistemic Uncertainty

When Can Proxies Improve the Sample Complexity of Preference Learning?

General framework for online-to-nonconvex conversion: Schedule-free SGD is also effective for nonconvex optimization

Scaling Laws for Pre-training Agents and World Models

PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting

Exploring Invariance in Images through One-way Wave Equations

POROver: Improving Safety and Reducing Overrefusal in Large Language Models with Overgeneration and Preference Optimization

Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale

Policy Filtration for RLHF to Mitigate Noise in Reward Models

Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing

DPO Meets PPO: Reinforced Token Optimization for RLHF

Insights into a radiology-specialised multimodal large language model with sparse autoencoders

Minerva: A Programmable Memory Test Benchmark for Language Models

MMInference: Accelerating Pre-filling for Long-Context VLMs via Modality-Aware Permutation Sparse Attention

MOGIC: Metadata-Infused Oracle Guidance for Improved Extreme Classification

NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits

CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing

Offline Learning for Combinatorial Multi-armed Bandits

LongRoPE2: Near-Lossless LLM Context Window Scaling

CollabLLM: From Passive Responders to Active Collaborators

Implicit Language Models are RNNs: Balancing Parallelization and Expressivity

A Meta-learner for Heterogeneous Effects in Difference-in-Differences

ALMTokenizer: A Low-bitrate and Semantic-rich Audio Codec Tokenizer for Audio Language Modeling

Overcoming Vocabulary Mismatch: Vocabulary-agnostic Teacher Guided Language Modeling

Re-Imagine: Symbolic Benchmark Synthesis for Reasoning Evaluation

DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs

Compositional Causal Reasoning Evaluation in Language Models

BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling

AMPO: Active Multi-Preference Optimization

MPO: An Efficient Post-Processing Framework for Mixing Diverse Preference Alignment

SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training

RLTHF: Targeted Human Feedback for LLM Alignment

AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence

The Canary’s Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text

Low-Rank Thinning