Chen Lab

Yale University

OPHTHALMOLOGY

New Haven · United States

NIH-funded
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NIH R01 · 2025

Addressing Factual Inaccuracy and Unfaithful Reasoning of Large Language Models in Biomedicine and Healthcare

Large Language Models (LLMs) represent the latest advancement in Natural Language Processing (NLP) and Artificial Intelligence (AI), holding tremendous potential to revolutionize biomedical and healthcare applications. Extensive research has demonstrated the effectiveness of LLMs in a range of biomedical and health applications, ranging from medical question answering to summarizing systematic reviews and AI-assisted disease diagnosis. However, the major barriers to applying LLMs in biomedical and health applications are factual incorrectness – where LLMgenerated responses are inaccurate or incomplete – and incorrect reasoning – where LLM-generated responses lack supporting evidence,…

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