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Updated: Jan 10, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

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多选择题在生成人工智能和医学教育中的陷

Shrutika Singh1, Anton Alyakin2,3,4, Daniel Alexander Alber2,5

  • 1Department of Neurosurgery, NYU Langone Health, 550 First Ave, New York, NY, 10016, USA. ss17775@nyu.edu.

Scientific reports
|November 26, 2025
PubMed
概括

大型语言模型 (LLM) 可能会因为多选题 (MCQ) 格式而高估医疗知识. 自由答案问题揭示了显著的性能差距,表明当前的医疗AI基准有缺陷.

关键词:
评估方法 评估方法大型语言模型.自然语言处理自然语言处理.问答问题 回答问题文本生成 文本生成

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