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Updated: Sep 14, 2025

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在酒精和物质使用障碍的大型语言模型中对语言进行耻辱化:多模型评估和快速工程方法

Yichen Wang1, Kelly Hsu, Christopher Brokus

  • 1Division of Hospital Medicine, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA (YW); Gastroenterology Unit, Department of Medicine, Massachusetts General Hospital, Boston, MA (YW, NU, WZ); Tufts University School of Medicine, Boston, MA (KH); Harvard Medical School, Boston, MA (CB, NU, WZ); Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Jacksonville, FL (YH); Program for Substance Use and Addiction Services, Massachusetts General Hospital, Boston, MA (SW); Department of Biomedical Data Science, Stanford University, Stanford, CA (JZ); Department of Electrical Engineering, Stanford University, Stanford, CA (JZ); Department of Computer Science, Stanford University, Stanford, CA (JZ).

Journal of addiction medicine
|July 24, 2025
PubMed
概括

大型语言模型 (LLM) 在医疗保健讨论中经常使用关于酒精和物质使用障碍的污名化语言. 快速工程显著减少了这个问题,改善了以患者为中心的沟通.

关键词:
人工智能的人工智能是人工智能.自然语言处理自然语言处理.快速的工程迅速的工程社会的耻辱和污名.与物质有关的障碍物.

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