CHASD is an inference-time framework that gates contrastive decoding via an uncertainty threshold and constructs negative branches through attention-guided perturbations of salient visual tokens to mitigate hallucinations in LVLMs.
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CHASD: Language Increment-Calibrated Contrastive Decoding against Hallucination in LVLMs
CHASD is an inference-time framework that gates contrastive decoding via an uncertainty threshold and constructs negative branches through attention-guided perturbations of salient visual tokens to mitigate hallucinations in LVLMs.