Jushaan Singh Kalra

MoR: Better Handling Diverse Queries with a Mixture of Sparse, Dense, and Human Retrievers

Retrieval-augmented Generation (RAG) is powerful, but its effectiveness hinges on which retrievers we use and how. Different retrievers offer distinct, often complementary signals: BM25 captures lexical matches; dense retrievers, semantic similarity. Yet in practice, we typically fix a single retrie