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Detecting Misbehaviors of Large Vision-Language Models by Evidential Uncertainty Quantification
%Large vision-language models (LVLMs) have shown substantial advances in multimodal understanding and generation. However, when presented with incompetent or adversarial inputs, they frequently produce unreliable or even harmful content, such as fact hallucinations or dangerous instructions. This mi
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