EAR: Entity-Aware Partitioning Approach for Retrieval-Augmented Generation Development
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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 be partitioned into retrievable units? Fixed-size chunks often return long passages…
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- 2026-09-14 04:00 · arXiv cs.CL
EAR: Entity-Aware Partitioning Approach for Retrieval-Augmented Generation Development
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