SelfGraphRAG: Bridging the Supervision Gap in Graph-Based RAG with Synthetic QA Generation
英文标题：SelfGraphRAG: Bridging the Supervision Gap in Graph-Based RAG with Synthetic QA Generation
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
打开原文相关 2.4 · 机会 1
2.1 KB
640 B
612 B
380 B
9.1 KB
32.7 KB
22.8 KB
24.2 KB
34.7 KB
中文
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
中文全文翻译正在补齐，可先查看下方英文原文。
English / 原文
BibTeX formatted citation
×