The ShieldLM model (
paper link) initialized from
internlm2-chat-7b. ShieldLM is a bilingual (Chinese and English) safety detector that mainly aims to help to detect safety issues in LLMs' generations. It aligns with general human safety standards, supports fine-grained customizable detection rules, and provides explanations for its decisions.
Refer to our
github repository for more detailed information.
Please refer to our
github repository for the detailed usage instructions.
ShieldLM demonstrates impressive detection performance across 4 ID and OOD test sets, compared to strong baselines such as GPT-4, Llama Guard and Perspective API.
Refer to
our paper for more detailed evaluation results.
