SOURCE-LINKED INTELLIGENCE
Don't Lose Entities from Retrieval to Generation: Dual Entity Recovery RAG for multi-hop QA
Retrieval-augmented multi-hop question answering (QA) decomposes a query into sub-questions and decomposes the corpus into smaller retrieval units such as sentences. Both forms of decomposition improve the pipeline, but we show that both share the same vulnerability, the loss of entity information, and that this loss breaks the pipeline at two separate points. The first point is retrieval, where a sub-question loses the entity resolved at the previous hop, leaving the retriever with nothing to match against. The second point is harder to see, because retrieval still appears to succeed. Once a
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-05T12:52:40.000Z
First collected: 2026-09-20T21:32:07.623Z. This is not the publication date.