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Published Date

Publication

Serving Models, Fast and Slow:Optimizing Heterogeneous LLM Inferencing Workloads at Scale

Kunal Jain, A. Parayil, Ankur Mallick, Rujia Wang, Renee St. Amant, Chetan Bansal, Victor Ruehle, Saravan Rajmohan, Shashwat Jaiswal, Yogesh Simmhan, Anoop Kulkarni, Steve Kofsky

ACM Sigmetrics 2026 | June 2026

Project

Publication

Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation

Xutong Liu, Baran Atalar, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, John C.S. Lui, Wei Chen, Carlee Joe-Wong

IEEE International Conference on Computer Communications (INFOCOM) | May 2026

Publication

DroidSpeak: Efficient Context Sharing for Multiple-LLM Inference

Yuhan Liu, Yuyang Huang, Jiayi Yao, Zhuohan Gu, Kuntai Du, Hanchen Li, Yihua Cheng, Junchen Jiang, Shan Lu, Madan Musuvathi, Esha Choukse

NSDI | May 2026

Project

Publication

EgoBrain: Synergizing Minds and Eyes For Human Action Understanding

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

2026 International Conference on Learning Representations | April 2026

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

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

Event

ICLR 2026

Upcoming: April 23, 2026 – April 27, 2026 | Rio de Janeiro, Brazil

Microsoft is proud to have over 150 accepted papers and be a sponsor of the 14th International Conference on Learning Representations (ICLR) (opens in new tab) occurring April 23 – 27, 2026 in Rio de…

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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

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

Artificial Intelligence

Highlights