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FlowCPO: A Unified Divergence View of Preference Alignment for Flow Models
Preference alignment for flow and diffusion models now spans online reinforcement learning and offline preference optimization, but the relation between these methods remains unclear. In particular, existing forward-process alignment methods require fresh samples from the current model, while offlin
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