[论文] Would an LLM Match into a Residency? Uncertainty, Reasoning and Image Use of Open Language Models on the Spanish MIR Examination
来源:arXiv AI 论文收录:2026/10/23
✦ AI 解读
该论文研究四个8-270亿参数的开源语言模型在西班牙MIR住院医师考试中的表现,使用八届共1552道题按考试规则评分。三个较大模型若答完所有题目,排名约在前600至3000名,仍有41-43个专科可选。研究进一步考察模型是否识别自身不确定性、医学微调是否改善该能力、正确回答是否基于合理临床推理,以及是否真正利用图像信息。
Accuracy on medical examinations is common evidence offered for the clinical use of language models, yet a health system that intends to run an open model on its own hardware needs to know considerably more: whether the model recognizes when it is likely to be wrong, whether medical fine-tuning improves this ability, whether its correct answers rest on sound clinical reasoning, or whether it actually uses the images it is given. We examine these questions for four open models of 8 to 27 billion parameters on the Spanish MIR residency examination, scoring 1,552 questions from eight editions under the exam's own rules. Answering every question, the three larger models would rank among roughly the first 600 to 3,000 candidates, with 41 to 43 specialties still open to them. Abstention, however
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