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SAG: SQL-Retrieval Augmented Generation with Query-Time Dynamic Hyperedges

arXiv cs.CL ↗ · 2026-08-13 缓存

This paper proposes SAG, a SQL-retrieval augmented generation architecture that organizes documents into event-entity hyperedges without building a global knowledge graph, enabling query-time dynamic linking of evidence chunks for multi-hop QA. It reports state-of-the-art retrieval and QA performance on HotpotQA, 2WikiMultiHopQA, and MuSiQue benchmarks.

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