English(EN) Empathy Applicability Modeling for General Health Queries

新框架模拟患者健康查询中的情感共鸣需求

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-02 04:00

研究人员开发了一个名为EAF的新框架，用于识别患者在一般健康问题查询中何时需要情感共鸣。该方法分析临床、背景和语言线索来预测情感反应的适用性。发布了一个由人类和GPT-4o标注的基准数据集，用于训练和验证EAF分类器，这些分类器在与基线方法相比表现出强劲的性能。 AI

影响为在医疗环境中开发更具情感共鸣的人工智能提供了框架。

排序理由 arXiv上的学术论文发布。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CL TIER_1 English(EN) · Shan Randhawa, Agha Ali Raza, Kentaro Toyama, Julie Hui, Mustafa Naseem · 2026-06-02 04:00

通用健康查询的共情适用性建模

arXiv:2601.09696v2 Announce Type: replace Abstract: LLMs are increasingly being integrated into clinical workflows, yet they often lack clinical empathy, an essential aspect of effective doctor-patient communication. Existing NLP frameworks focus on reactively labeling empathy in…