Yuval Golbari

DocReRank: Single-Page Hard Negative Query Generation for Training Multi-Modal RAG Rerankers

Rerankers play a critical role in multimodal Retrieval-Augmented Generation (RAG) by refining ranking of an initial set of retrieved documents. Rerankers are typically trained using hard negative mining, whose goal is to select pages for each query which rank high, but are actually irrelevant. Howev