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July 13, 2025 July 19, 2025

Microsoft at ICML 2025

Pacific Daylight Time (UTC-7)

Location: Vancouver, BC

Microsoft is proud to be a sponsor of The International Conference on Machine Learning (ICML) (opens in new tab), a premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. We are pleased to share Microsoft has 89 accepted papers at this year’s conference.

ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics.

Explore Microsoft’s contribution to ICML 2025 by checking out our accepted papers and more.

Oral sessions

Sunday, July 13

Re-Imagine: Symbolic Benchmark Synthesis for Reasoning Evaluation
Rachel Lawrence

Toward Stateless Training of LLMs: Breaking Memory Barriers Without Sacrificing Performance
Chao Ma

Tuesday, July 15

CollabLLM: From Passive Responders to Active Collaborators
Michel Galley, Baolin Peng, Hao Cheng, Weixin Cai, Jianfeng Gao

Wednesday, July 16

Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark
Linjie Li, Zhengyuan Yang, Lijuan Wang

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Li Lyna Zhang, Ning Shang, Yi Zhu, Fan Yang, Mao Yang

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

Thursday, July 17

DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs
Tianyi Chen, Tianyu Ding, Luming Liang, Ilya Zharkov

Research Forum | Episode 5 - abstract background with colorful circles

Microsoft Research Forum

Join us for a continuous exchange of ideas about science and technology research in the era of general AI. This series explores recent research advances, bold new ideas, and important discussions with the global research community. Register to attend upcoming episodes and watch previous episodes available on demand.