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StageBreaker: Shifting Video RL Post-Training Scheduling from Stages down to Data Dependencies
Reinforcement learning (RL) post-training has emerged as the key paradigm for improving autoregressive video models. Emerging vision-language reward models further strengthen post-training with accurate rewards, but their long chain-of-thought inference substantially raises the associated costs, whi
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