|
--- |
|
license: mit |
|
language: |
|
- en |
|
- zh |
|
--- |
|
## Introduction |
|
The ShieldLM model ([paper link](xxx)) initialized from [chatglm3-6b](https://huggingface.co/THUDM/chatglm3-6b). 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](https://github.com/thu-coai/ShieldLM) for more detailed information. |
|
|
|
## Usage |
|
Please refer to our [github repository](https://github.com/thu-coai/ShieldLM) for the detailed usage instructions. |
|
|
|
## Performance |
|
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](xxx) for more detailed evaluation results. |
