Search and information retrieval
Microsoft Research Blog
Research Focus: Week of January 13, 2025
In this edition: Privacy enhancements for multiparty deep learning; using smaller, open-source models to provide relevance judgments; new tool uses AI, data to automate innovation and development; Yasuyuki Matsushita named IEEE 2025 Computer Society Fellow.
Video
Accelerating Multilingual RAG Systems
As Retrieval-Augmented Generation (RAG) systems gain prominence for grounding large language models (LLMs) in external knowledge, constructing evaluation frameworks is critical in accelerating developments across multiple diverse languages. This talk introduces a comprehensive multilingual RAG…
Dataset Source Code
PIKE-RAG
PIKE-RAG (sPecIalized KnowledgE and Rationale Augmented Generation) framework mainly consists of several basic modules, including document parsing, knowledge extraction, knowledge storage, knowledge retrieval, knowledge organization, knowledge-centric reasoning, and task decomposition and coordination while building coherent…
Dataset Source Code
Structured Entity Extraction
Structured Entity Extraction and the Approximate Entity Set OverlaP (AESOP) metric are designed to appropriately assess model performance.
Publication