The widening evaluation gap in medical large language model research 2023 to 2026
研究探讨了2023至2026年间医学大语言模型评价滞后的现象，通过分析PubMed数据指出随机对照试验等设计的滞后加剧，并提出模型更新速度与临床证据生成速度不匹配的问题。
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Target leakage, not model class, explains reported accuracy in survey-based cardiovascular screening: a leakage-tiered audit of glass-box and tabular foundation models
研究通过分层审计方法，揭示心血管筛查模型的高准确性主要源于目标泄漏而非模型本身，并评估了透明模型在公平性和不确定性处理上的优势。
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The widening evaluation gap in medical large language model research 2023 to 2026
研究探讨了2023至2026年间医学大语言模型评价滞后的现象，通过分析PubMed数据指出随机对照试验等设计的滞后加剧，并提出模型更新速度与临床证据生成速度不匹配的问题。
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Target leakage, not model class, explains reported accuracy in survey-based cardiovascular screening: a leakage-tiered audit of glass-box and tabular foundation models
研究通过分层审计方法，揭示心血管筛查模型的高准确性主要源于目标泄漏而非模型本身，并评估了透明模型在公平性和不确定性处理上的优势。
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