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Rethinking the Effectiveness of Contrastive Decoding in Mitigating Hallucinations in MLLMs
Multimodal large language models frequently describe objects that are not present in an image. Contrastive decoding has become a widely used inference-time remedy, and it is assumed to work by contrasting a normal forward pass against a hallucination-prone one so that hallucinated content is suppres
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