AI 大模型

大模型对齐与安全

大模型对齐、安全、越狱、红队、提示注入和可信评测。

2025-10-22 至 2025-10-22 共收录 3 篇信号源：cs.CL, cs.AI, cs.CY, cs.LG

1. 幻觉与事实性 3 篇

2510.18454 2025-10-22 cs.CL 79%

Engagement Undermines Safety: How Stereotypes and Toxicity Shape Humor in Language Models

Atharvan Dogra, Soumya Suvra Ghosal, Ameet Deshpande, Ashwin Kalyan, Dinesh Manocha

机构 * Centre for Responsible AI, IIT Madras（负责任人工智能中心，印度理工学院马德拉斯分校）； University of Maryland, College Park（马里兰大学 College Park 分校）； Princeton University（普林斯顿大学）

专题命中幻觉与事实性：safety(title,abstract)；分类 cs.CL

2510.14008 2025-10-22 cs.MA 78%

Stop Reducing Responsibility in LLM-Powered Multi-Agent Systems to Local Alignment

Jinwei Hu, Yi Dong, Shuang Ao, Zhuoyun Li, Boxuan Wang, Lokesh Singh, Guangliang Cheng, Sarvapali D. Ramchurn, Xiaowei Huang

专题命中幻觉与事实性：alignment(title,abstract)

Comments Updated manuscript of our previous version (arXiv:2502.01714). Under review

2505.21657 2025-10-22 cs.CL cs.AI cs.LG 67%

Explaining Large Language Models with gSMILE

Zeinab Dehghani, Mohammed Naveed Akram, Koorosh Aslansefat, Adil Khan, Yiannis Papadopoulos

机构 * University of Hull（赫尔大学）； Fraunhofer IESE（弗劳恩霍夫研究所）

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