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SafeBench is a comprehensive framework for evaluating the safety of multimodal large language models (MLLMs), featuring an automatic pipeline that generates 2,300 multimodal harmful query pairs across 23 risk scenarios. It employs a jury deliberation evaluation protocol using collaborative LLMs to provide reliable, unbiased safety assessments, and has tested 15 open-source and 6 commercial MLLMs, revealing widespread safety issues.
We haven’t found SafeBench in the AI answers we’ve checked.