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responsible-ai-techniques

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RevealVLLMSafetyEval is a comprehensive pipeline for evaluating Vision-Language Models (VLMs) on their compliance with harm-related policies. It automates the creation of adversarial multi-turn datasets and the evaluation of model responses, supporting responsible AI development and red-teaming efforts.

  • Updated May 12, 2025
  • Python

In this repository, I hope to write an algorithm whose core purpose is to enhance user well-being. I warmly welcome any comments and discussions.在此仓库中,我希望写出一个算法,它的核心目的是增进用户福祉。我非常欢迎任何意见和讨论。

  • Updated Nov 19, 2025

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