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Video-SafetyBench: A Benchmark for Safety Evaluation of Video LVLMs

arXiv — cs.CL•Wednesday, October 29, 2025 at 4:00:00 AM
PositiveArtificial Intelligence
The introduction of Video-SafetyBench marks a significant advancement in the evaluation of safety for Large Vision-Language Models (LVLMs). As these models become more prevalent, addressing safety concerns related to video inputs is crucial, especially given the unique risks posed by dynamic content. This benchmark aims to fill the gap left by previous evaluations that focused solely on static images, ensuring that potential vulnerabilities in video processing are thoroughly assessed. This development is important as it enhances the reliability and safety of AI systems in real-world applications.
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