通过人机语言模型交互对负面思维进行认知重构（英文版）

英文标题：Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction中文摘要：该论文研究了语言模型如何帮助人们重新构建消极的想法，通过开发自动化指标来度量语言属性并训练一个提高检索上下文学习模型的数据集，并确认高度共情或特定于个体患者的重构更受人们青睐，这些发现对于使用语言模型协助人们克服消极思维具有重要意义。英文摘要：A proven therapeutic technique to overcome negative thoughts is to replacethem with a more hopeful "reframed thought." Although therapy can help peoplepractice and learn this Cognitive Reframing of Negative Thoughts, clinicianshortages and mental health stigma commonly limit people's a