The paper builds a 17,435-clip video tampering benchmark and finds that many vision-language models score near trivial-guessing levels, while model size shows no clear link to robustness.
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MVTamperBench: Evaluating Robustness of Vision-Language Models
The paper builds a 17,435-clip video tampering benchmark and finds that many vision-language models score near trivial-guessing levels, while model size shows no clear link to robustness.