TREC Deep Learning Track
The TREC Deep Learning Track studies information retrieval in a large training data regime. This is the case where the number of training queries with at least one positive label is at least in the…
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Make Your LLM Fully Utilize the Context
Phi-3
The Phi-3-Mini-128K-Instruct is a 3.8B parameters, lightweight, state-of-the-art open model trained with the Phi-3 datasets that includes both synthetic data and the filtered publicly available websites data with a focus on high-quality and reasoning dense…
Project GraphRAG
LLM-Derived Knowledge Graphs GraphRAG (Graphs + Retrieval Augmented Generation) is a technique for richly understanding text datasets by combining text extraction, network analysis, and LLM prompting and summarization into a single end-to-end system. GraphRAG and…
Women in Data Science Fireside Chat with Ilda Ladeira, Karin Kimbrough and Lisa Cohen
Watch the WiDS event — Ilda Ladeira fireside chat with Karin Kimbrough and Lisa Cohen, hosted by Women in Data Science @ Microsoft community on March 21st, 10:30-11:30am PT. The speakers share their career journey,…