LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts

Qibing Ren, Hao Li, Dongrui Liu +7

Safety concerns in large language models (LLMs) have gained significant attention due to their exposure to potentially harmful data during pre-training. In this paper, we identify…