MediQAl is a new French medical QA benchmark with 32k exam-sourced questions in three formats and cognitive labels, evaluated on 14 LLMs to reveal gaps between factual recall and reasoning performance.
arXiv preprint arXiv:2501.09213 , year=
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Across 504 configurations on five-year ADRD prediction, rationale-based supervised fine-tuning consistently degrades performance relative to label-only fine-tuning, despite high-quality rationales validated by experts.
MixRea benchmark reveals LLMs achieve at most 42.8% consistency on explicit-implicit reasoning tasks, with PRCP prompting proposed to recover overlooked relations.
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