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Evaluating Clinical Reasoning in Large Language Models

Large language models struggle with real clinical reasoning despite acing medical exams. They exhibit issues like verbosity bias, hidden knowledge paradox, and high reasoning-output mismatch. These models also approve clinically wrong outputs, highlighting an 'evaluation illusion' in high-stakes domains.

Computing & Technology, Computer Science, Machine Learning