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FlowCPO: A Unified Divergence View of Preference Alignment for Flow Models

This story is from 2026-09-10. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.09905v1 Announce Type: new Abstract: 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 f…

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  1. 2026-09-10 04:00 · arXiv stat.ML
    FlowCPO: A Unified Divergence View of Preference Alignment for Flow Models

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