AIBullisharXiv – CS AI · 9h ago7/10
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Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction
Researchers have developed GILC, a plug-and-play framework that enables efficient controllable generation in discrete diffusion models without retraining. The method uses gradient-informed logit correction and a Jacobian-free mechanism to stabilize guidance across DNA, protein, and molecular generation tasks, achieving state-of-the-art results.