ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors

Zhexin Zhang, Yida Lu, Jingyuan Ma +8

The safety of Large Language Models (LLMs) has gained increasing attention in recent years, but there still lacks a comprehensive approach for detecting safety issues within LLMs'…