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Masked Auto-Regressive Variational Acceleration: Fast Inference Makes Practical Reinforcement Learning

Yuxuan Gu, Weimin Bai, Yifei Wang, Weijian Luo, He Sun · Nov 19, 2025

Citations: 0

Match reason: Matched by broad semantic/index fallback.

Score: 26% Sparse protocol signal Freshness: Cold Status: Fallback
Pairwise Preference General
  • Such a distillation with MARVAL not only yields substantial inference acceleration but, crucially, makes RL post-training with verifiable rewards practical, resulting in scalable yet human-preferred fast generative models.
  • In conclusion, MARVAL demonstrates the first practical path to distillation and RL of masked auto-regressive diffusion models, enabling fast sampling and better preference alignments.
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