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Published Date

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

PerfBench: Can Agents Resolve Real-World Performance Bugs?

Spandan Garg, Roshanak Zilouchian Moghaddam, Neel Sundaresan

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

Publication

ImaginationVellum: Generative-AI Ideation Canvas with Spatial Prompts, Generative Strokes, and Ideation History

Nicolai Marquardt, A. Roseway, Hugo ROMAT, Payod Panda, Michel Pahud, Gonzalo A. Ramos, S. Drucker, Andrew D. Wilson, Ken Hinckley, Nathalie Henry Riche

2025 User Interface Software and Technology | September 2025

Honorable Mention, UIST 2025

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

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

Publication

Medha: Efficient LLM Inference on Multi-Million Context Lengths Without Approximation

Amey Agrawal, Haoran Qiu, Junda Chen, Íñigo Goiri, Chaojie Zhang, Rayyan Shahid, Ramachandran Ramjee, Alexey Tumanov, Esha Choukse

September 2025

Project

Video

Dehumanizing machines: Making sense of AI systems that seem human

September 24, 2025 | Maya Murad, Alexandra Olteanu, Su Lin Blodgett

Alexandra Olteanu, Principal Researcher, and Su Lin Blodgett, Principal Researcher, both from Microsoft Research Montréal, discuss the anthropomorphic design and perception of generative AI systems. Their work equips practitioners with frameworks for understanding what makes…

08:08

Video

Scalable emulation of protein equilibrium ensembles with BioEmu

September 24, 2025 | Maya Murad, Frank Noé

Frank Noé, Partner Research Manager at Microsoft Research AI for Science, shares a major milestone in biomolecular simulation: BioEmu, an emulator that predicts protein shape changes and stabilities with near-experimental accuracy, running up to 100,000x…

Video: Scalable emulation of protein equilibrium ensembles with BioEmu | Frank Noé

09:24

Artificial Intelligence

Highlights