Ilia Sudakov

Aligning DLM generation with reference distributions via feature-space MMD significantly boosts performance on perplexity and reasoning tasks without retraining the entire model.

Autoregressive generative classifiers can beat diffusion models at image classification, but only if you marginalize over token order.