MedMistake automatically generates 3,390 single-shot QA pairs capturing LLM mistakes in medical conversations, with expert validation on a 211-question subset showing performance differences among 12 frontier models.
Haoan Jin, Jiacheng Shi, Hanhui Xu, Kenny Q
3 Pith papers cite this work. Polarity classification is still indexing.
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PrinciplismQA is an expert-validated clinical ethics benchmark showing that medical LLMs often fail to surface principlist conflicts even when they know the clinical facts.
UniReason-Med introduces a unified framework for 2D and 3D medical VQA with shared grounded reasoning, trained on a 220K dataset, claiming that joint 2D+3D supervision improves 3D performance over 3D-only training.
citing papers explorer
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Automatic Replication of LLM Mistakes in Medical Conversations
MedMistake automatically generates 3,390 single-shot QA pairs capturing LLM mistakes in medical conversations, with expert validation on a 211-question subset showing performance differences among 12 frontier models.
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PrinciplismQA: A Philosophy-Grounded Approach to Assessing LLM-Human Clinical Medical Ethics Alignment
PrinciplismQA is an expert-validated clinical ethics benchmark showing that medical LLMs often fail to surface principlist conflicts even when they know the clinical facts.
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UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA
UniReason-Med introduces a unified framework for 2D and 3D medical VQA with shared grounded reasoning, trained on a 220K dataset, claiming that joint 2D+3D supervision improves 3D performance over 3D-only training.