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#qa

1 curated events
papersSEP 10 04:00 UTC

Answer paths and grounding instructions studied in LLM question answering over knowledge graphs

A graph retrieval-augmented generation pipeline must decide which knowledge graph triples to place in the prompt, what syntax to serialize them in, in what order, and with what instruction telling the model how to use them. This arXiv paper varies all four design choices across six large language models to assess how each factor affects question answering performance.

rag/knowledge-graphs/qa/llms