This paper introduces XProvence, a multilingual zero-cost context pruning model for Retrieval-Augmented Generation (RAG), supporting 100+ languages. Motivated by the growing use of RAG systems across diverse languages, we explore several strategies to generalize the Provence framework--which first i...
Retrieval-Augmented GenerationShort papers