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Weilong Jiang

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Conference Open access 2026

Latent Attention Denoising: A Training-Free Energy-Based Framework for Mitigating Hallucinations in Vision-Language Models

Latent Attention Denoising (LAD) is introduced, a principled and training-free framework that recasts attention calibration as a one-step score-based denoising process that achieves superior performance on both generative and discriminative tasks.

Zhiwen Luo, Siyu Jiang, Weilong Jiang et al. · 0 citations