
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…
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…
Structured Entity Extraction
Structured Entity Extraction and the Approximate Entity Set OverlaP (AESOP) metric are designed to appropriately assess model performance.
Multi-Field Adaptive Retrieval
Research Focus: Week of September 23, 2024
Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. Time-series forecasting is a technique used to predict…