AIBullisharXiv – CS AI · Mar 177/10
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Masked Auto-Regressive Variational Acceleration: Fast Inference Makes Practical Reinforcement Learning
Researchers introduce MARVAL, a distillation framework that accelerates masked auto-regressive diffusion models by compressing inference into a single step while enabling practical reinforcement learning applications. The method achieves 30x speedup on ImageNet with comparable quality, making RL post-training feasible for the first time with these models.