EAR: entity-aware partitioning approach for retrieval-augmented generation in MCQA
Read the original at arxiv.org→arXiv:2609.12268v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) can improve knowledge-intensive question answering, but the first design choice is easy to overlook: how should the source corpus...
Original headline: "EAR: Entity-Aware Partitioning Approach for Retrieval-Augmented Generation Development"
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- Sep 14, 04:00 UTC arXiv cs.CL lead source EAR: Entity-Aware Partitioning Approach for Retrieval-Augmented Generation Development