arXiv · cs.AI · Artin Yousefi, Aizierjiang Aiersilan, Lorien C Abroms, David A Broniatowski2026-11-02 13:00 · 12 小时前模型评分58

研究审计六款大模型戒烟建议：同一问题因用户身份不同答案不同

Same Question, Different Answers: Auditing Persona-Dependent Variation in Six LLMs on Smoking-Cessation Advice

导读

研究团队向四家厂商的六款大语言模型（LLM，Large Language Model）提出同样的四个戒烟问题，并搭配十二种不同用户画像，共收集 2880 条回答，发现模型给出的内容取决于提问者看起来是谁。

分类置信度

中 · 待人工复核

来源级别：媒体与个人

应用领域：医疗与生命科学

事件类型：研究发布

证据摘录

“We audit six widely deployed LLMs from four providers on smoking cessation, a domain with codified clini- cal guidance and substantial public-health stakes, by putting the same four cessation questions to twelve user personas that differ in life stage, self-described expertise, and smoking history, for a total of 2,880 responses.”
“We release all 2,880 responses and the analysis code.”

来源：arXiv · cs.AI · arxiv.org