Author

Peixun Liu

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Preprint Aug 2026

VADER: Adaptive Debiasing for Hallucination Mitigation in Video Large Language Models

Video-Adaptive Debiasing via Evidence Reweighting (VADER), a training-free framework with two complementary modules that combines Contrastive decoding then down-weights predictions that remain confident after selective evidence erasure.

Dong Xing, Jiaxin Chen, Hang Yang et al. · 0 citations