CoRe2 min read
CoRe: Co-Evolving Reward Models for Mitigating Latent Reward Hacking in Video Diffusion Models
Latent reward models (LRMs) enable efficient alignment of video diffusion models by scoring intermediate states directly in latent space. However, we find that optimizing against a fixed latent reward rapidly leads to latent reward hacking: the predicted reward stays high while perceptual and…
By Zhaolong Su, Yujin Han, Feng Wang, Jameson Dong, Hins Hu, Difan ZouarXiv - cs.AI
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Originally published by arXiv - cs.AI on Sep 30, 2026.
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