AquiLLM: Evaluating Faithfulness in Open-Weight RAG-LLM Systems for Scientific Research
Scientific research increasingly relies on large, heterogeneous data sources, motivating interest in retrieval-augmented generation (RAG) systems that provide natural language access to scientific knowledge and research workflows. Researchers are exploring the viability of these systems as natural language interfaces f...
Bernie Boscoe, S. Saikrishnan, Vikram Seenivasan et al.
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