ChineseSafe introduces a specialized benchmark to evaluate how well large language models identify unsafe and illegal content in Chinese contexts.

• Addresses a critical gap in safety evaluation for Chinese language content
• Enables systematic assessment of LLMs' ability to recognize harmful content
• Provides comprehensive coverage across multiple risk categories specific to Chinese contexts
• Establishes a foundation for more responsible AI deployment in Chinese markets

This research is crucial for security professionals as it offers a standardized way to test and improve content safety systems before deployment in Chinese-speaking regions, potentially preventing harmful content distribution.

ChineseSafe: A Chinese Benchmark for Evaluating Safety in Large Language Models