Building intelligent machines that complement human reasoning and extend what people can do. Aurora 1.5: Extending open foundation models for weather and Earth-system applications OptiMind: When the system meets the floor Can we AI our way to a more sustainable world? [Podcast] Microsoft Research Forum Showing 1 – 10 of 13445 results NI Sampling++: Optimizing Token Order for Fast Discrete Diffusion Sampling with Reinforcement Learning Enshu Liu, Theodore Zhengde Zhao, Xuefei Ning, Zinan Lin , Yu Wang 2026 COLM | December 2026 Adopt ≠ Adapt: Longitudinal Analyses of LLM Conversations in the Wild Rebecca M. M. Hicke, Kiran Tomlinson EMNLP | October 2026 Mathematical foundations of AI workshop Upcoming: October 23, 2026 | 21 Station Road, Cambridge, CB1 2FB The workshop on the mathematical foundations of AI, hosted by Microsoft Research Cambridge, brings together researchers from academia and industry to explore emerging directions and open challenges. Advancing the science of AI agent evaluation and governance Upcoming: October 22, 2026 – October 23, 2026 | New York, NY, USA On October 22–23, 2026, Microsoft Research and Carnegie Mellon University’s AI Measurement Science & Engineering Center (AIMSEC) will convene 120 key leaders across academia, industry, civil society, and government to define shared standards and measurement science for evaluating and governing… Shiksha Copilot: Teacher-AI Collaboration for Curating and Customizing Lesson Plans in Low-Resource Schools Deepak Varuvel Dennison, Bakhtawar Ahtisham, Kavyansh Chourasia , Nirmit Arora, Rahul Singh, René F. Kizilcec, Akshay Nambi , Tanuja Ganu , Aditya Vashistha 2026 Conference on Computer-Supported Cooperative Work & Social Computing (CSCW) | October 2026 Honorable Mention Award at CSCW 2026

Self-Evolving Curriculum for LLM Reasoning Xiaoyin Chen, Jiarui Lu, Minsu Kim, Dinghuai Zhang, Jian Tang, Alex Pich'e, Nicolas Gontier, Yoshua Bengio, Ehsan Kamalloo 2026 COLM | October 2026 Think Right: Learning to Mitigate Under-Over Thinking via Adaptive, Attentive Compression Joykirat Singh, Justin Chih-Yao Chen, Archiki Prasad, Elias Stengel-Eskin, Akshay Nambi , Mohit Bansal 2026 COLM | October 2026 BlueCodeAgent: A Blue Teaming Agent Enabled by Automated Red Teaming for CodeGen AI Chengquan Guo, Yuzhou Nie, Chulin Xie, Zinan Lin , Wenbo Guo, Bo Li ICML 2026 | October 2026 Large language model (LLM) inference has become an operational workload that fleets must provision, monitor, and bill against latency service-level objectives (SLOs). A single throughput number cannot answer the questions operators actually face, because generative… Capillary Kernels Tree-structured prefix sharing is now standard in large language model (LLM) serving: a radix-tree KV cache lets multiple requests reuse common context prefixes and reduces memory capacity pressure. Yet the attention kernels used with these… Like on Facebook Follow on LinkedIn Subscribe on Youtube Follow on Instagram Subscribe to our RSS feed Share this page: Share on Facebook Share on LinkedIn Share on Reddit