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Retrieving Complementary Evidence for Multi-Hop RAG with Semantic Gain Graphs
Multi-hop retrieval-augmented generation (RAG) requires finding documents whose evidence is useful in combination. Query relevance and graph connectivity help locate related content, but neither directly measures the additional information one document contributes given another. We introduce SG$^2$R
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