2025
NUDGE: Lightweight Non-Parametric Fine-Tuning of Embeddings for Retrieval
ICLR 2025poster
$k$-Nearest Neighbor search on dense vector embeddings ($k$-NN retrieval) from pre-trained embedding models is the predominant retrieval method for text and images, as well as Retrieval-Augmented Generation (RAG) pipelines. In practice, application developers often fine-tune the embeddings to improv…