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Search & information retrieval

Improving how people discover, understand, and use information through advances in search and retrieval.

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Publication

Quantization Beyond Uniform Bit Allocation

K. S. Sreeramji, Sabyasachi Basu, Ravishankar Krishnaswamy, Kirankumar Shiragur, Yujia Wang

August 2026

Publication

Coding Agents are Strong Prompt Optimizers

Agamdeep Singh, Srishti Gautam, Priyanshu Gupta, N. Mehrotra, Tanmay Bakshi, Sumit Gulwani

August 2026

arXiv | August 2026

Groupe

Agentic Innovation

Bridging Applied Research with Real-World Systems & Scenarios to define the future of Enterprise Productivity The M365 Research Agentic Innovation team bridges applied research with real-world systems and scenarios to define the future of enterprise…

Publication

The Evolution of Digital Search: From Blue Links to Delegated Decision-Making

David Rothschild, Nicole Immorlica, Brendan Lucier, Markus Mobius, Aleksandrs Slivkins

July 2026

arXiv | July 2026

Publication

HybridSparse: An End-to-End Hybrid Framework for Efficient Large-Scale Retrieval

Haotong Bao, Jianjin Zhang, Weihao Han, Xueting Wu, Qi Chen, Dongzhe Jiang, Zhengxin Zeng, Mingzheng Li, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang

SIGIR ’26 | July 2026

Possibilité de carrière

Engineering Lead – Extreme Retrieval

Posted: July 9, 2026

Lieu: Bangalore, Karnataka, India

Domaine(s) de recherche: Artificial intelligence, Search and information retrieval

Microsoft Research India is seeking a hands-on, ambitious and technically strong individual contributor to lead ML codebase development and build the software engineering platform for a high-impact project specializing in large-scale machine learning for consumer…

Publication