大模型对齐与安全

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models

Yanbo Wang, Yongcan Yu, Jian Liang, Ran He

机构 * School of Artificial Intelligence, University of Chinese Academy of Sciences（人工智能学院，中国科学院大学） ； NLPR & MAIS, Institute of Automation, Chinese Academy of Sciences（神经语言处理与机器智能中心，中国科学院自动化研究所） 纠错

专题命中 幻觉与事实性 ：safety(abstract)；trustworthy(abstract)；AI safety(abstract)；分类 cs.CL、cs.AI

Comments 38 pages. This survey considers papers published up to June 30, 2025. Work in progress

Safeguarding Patient Trust in the Age of AI: Tackling Health Misinformation with Explainable AI

Sueun Hong, Shuojie Fu, Ovidiu Serban, Brianna Bao, James Kinross, Francesa Toni, Guy Martin, Uddhav Vaghela

专题命中 幻觉与事实性 ：safety(abstract)

Designing Effective AI Explanations for Misinformation Detection: A Comparative Study of Content, Social, and Combined Explanations

Yeaeun Gong, Yifan Liu, Lanyu Shang, Na Wei, Dong Wang

专题命中 幻觉与事实性 ：alignment(abstract)

Comments To appear at CSCW 2025