VORD filters hallucinated tokens by requiring that a token's probability on the original image exceed its probability on a corrupted image, with an adaptive margin.
Ana- lyzing the behavior of visual question answering models
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VORD: Visual Ordinal Calibration for Mitigating Object Hallucinations in Large Vision-Language Models
VORD filters hallucinated tokens by requiring that a token's probability on the original image exceed its probability on a corrupted image, with an adaptive margin.