Maxim Panov

Reward hacking is mitigated and sample quality preserved in few-step discrete diffusion models by replacing intractable KL penalties with a novel inverse-distillation regularization.

MIRAGE restores factuality in long-form RAG systems, even when faced with heavily polluted retrieval data, outperforming prior methods.