推理设置影响大语言模型在医学分配中的行为

AI 摘要

该研究通过医学资源分配场景，发现大语言模型在推理时是否包含先前响应会显著影响其行为，且不同模型间概率变化方向可能相反。研究强调部署环境中的上下文工程对模型决策的重要性，并指出单次评估可能掩盖多轮任务中的潜在风险。

正文节选

Same Facts, Different Updates: Inference Setup Shapes LLM Behavior in Medical Allocation Abstract Large language models are being incorporated into sensitive and important decision-making processes across nearly all fields. While prior work studies model bias around inputs and scenario framing, models can also behave in unexpected and undesirable ways due to context accumulated over their deployment. In this work, we study a medical example in which a model is asked to assign resource-allocation

发布时间：2026-08-20 12:00

抓取时间：2026-08-20 12:22

来源机构：arXiv