Cross-sectional analysis assesses performance of large language models on medical benchmarks, indicating reliance on logic or patterns.
This cross-sectional study evaluates whether the performance of large language models on medical benchmarks reflects logical reasoning or pattern recognition.
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Bedi et al. (2025) studied this question.
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