Jun 2026
FADE: Mitigating Hallucinations by Reducing Language-Prior Dominance in Large Vision-Language Models
This work proposes FADE (FFN Attenuation for DEcoding), a training-free method that attenuates FFN outputs to reduce language-prior dominance and shows that FADE effectively mitigates hallucinations while preserving inference efficiency.
Yichen Guo, Kai Tang, Fenglai Lin et al.
· arXiv.org · 2 citations