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MeanFlowAdvantage: Stable Reward Fine-Tuning for Few-Step Average-Velocity Generators
and-scienceartificial-intelligencecomputational-engineeringcomputer-vision-and-pattern-recognitionfinance
MeanFlow enables efficient few-step generation by predicting interval-average velocities, but this representation creates a mismatch for reward fine-tuning: existing advantage-based objectives are typically defined on instantaneous velocities or equivalent $x_0$-space predictions, whereas inference
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