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J. Stark

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#artificial intelligence Preprint Sep 2026

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. · 1 citation

Preprint Aug 2026

AquiLLM: An Architecture for Supporting Tacit Knowledge Capture in Research Groups

Recent advances in retrieval-augmented generation (RAG) and large language models (LLMs) enable researchers to integrate AI into scientific workflows. However, using proprietary commercial AI systems raises concerns about transparency, reproducibility and privacy, which are essential for scientific practices. To this e...

J. Stark, S. Saikrishnan, Vikram Seenivasan et al. · 1 citation