Preprint
Aug 2026
Latent Reward Registers for Diffusion Preference Alignment
This work proposes Latent Reward Registers, a mechanism that estimates terminal preference directly from intermediate noisy latents, and achieves significant reward improvement with a favorable reward-quality balance against training-free baselines.
Yuanshen Guan, Zipeng Feng, Chengru Song et al.
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