Tag
ReNFT is a method to repair mode collapse in reward post-training of diffusion generators by internally recalibrating probability mass, improving diversity while retaining high reward scores.
GRAS is a training-free method for reward alignment in discrete diffusion models that reduces variance in guided proposals and adaptively selects particles, achieving state-of-the-art results on DNA and protein design tasks.