SelfGraphRAG: bridge the supervision gap in graph-based RAG with synthetic QA generation
Read the original at arxiv.org→arXiv:2608.25123v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) improves large language models by incorporating external knowledge without retraining, but existing methods often underuse the...
Original headline: "SelfGraphRAG: Bridging the Supervision Gap in Graph-Based RAG with Synthetic QA Generation"
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- Aug 27, 04:00 UTC arXiv cs.CL lead source SelfGraphRAG: Bridging the Supervision Gap in Graph-Based RAG with Synthetic QA Generation