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EAR: Entity-Aware Partitioning Approach for Retrieval-Augmented Generation Development

This story is from 2026-09-14. It is preserved in the archive; the latest stories are on the live feed.

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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  1. 2026-09-14 04:00 · arXiv cs.CL
    EAR: Entity-Aware Partitioning Approach for Retrieval-Augmented Generation Development

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