A Chinese Dataset for Evaluating the Safeguards in Large Language Models

arXiv:2402.12193v1 Announce Type: new
Abstract: Many studies have demonstrated that large language models (LLMs) can produce harmful responses, exposing users to unexpected risks when LLMs are deployed. Previous studies have proposed comprehensive taxonomies of the risks posed by LLMs, as well as corresponding prompts that can be used to examine the safety mechanisms of LLMs. However, the focus has been almost exclusively on English, and little has been explored for other languages. Here we aim to bridge this gap. We …

abstract arxiv chinese cs.cl dataset language language models large language large language models llms prompts responses risks safeguards studies taxonomies type