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SelfGraphRAG: Bridging the Supervision Gap in Graph-Based RAG with Synthetic QA Generation

This story is from 2026-08-27. It is preserved in the archive; the latest stories are on the live feed.

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 relational structure encoded in knowledge graphs. Graph-based RAG can capture entity re…

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  1. 2026-08-27 04:00 · arXiv cs.CL
    SelfGraphRAG: Bridging the Supervision Gap in Graph-Based RAG with Synthetic QA Generation

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