Evaluating faithfulness in open-weight RAG-LLM systems for scientific research
Read the original at arxiv.org→arXiv:2609.16519v1 Announce Type: new Abstract: Scientific research increasingly relies on large, heterogeneous data sources, motivating interest in retrieval-augmented generation (RAG) systems that provide natural...
Original headline: "AquiLLM: Evaluating Faithfulness in Open-Weight RAG-LLM Systems for Scientific Research"
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- Sep 16, 04:00 UTC arXiv cs.AI lead source AquiLLM: Evaluating Faithfulness in Open-Weight RAG-LLM Systems for Scientific Research