EAR: Entity-Aware Partitioning Approach for Retrieval-Augmented Generation Development
This work introduces EAR, an Entity-Aware Partitioning approach for multiple-choice question answering (MCQA), which provides a compact and inspectable retrieval unit, while its rule-based anchor extractor remains domain-specific and requires separate validation before transfer.
Cenab Batu Bora, Oylum Alatlı, Ş. Bora et al.
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