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The Reward Was in Your Data All Along: Correcting Flow Matching with Discriminator-Guided RL

๐Ÿ“„ Paper Trending (17โฌ†๏ธ): Score- and flow-matching models often rely on preference-based reinforcement learning for two purposes: aligning with subjective preferences and, surprisingly, recovering properties such as visual realism and coherent object structure that matching-based training is intended to learn from the data i...

Fonte: HuggingFace_Papers

Cosa fa

๐Ÿ“„ Paper Trending (17โฌ†๏ธ): Score- and flow-matching models often rely on preference-based reinforcement learning for two purposes: aligning with subjective preferences and, surprisingly, recovering properties such as visual realism and coherent object structure that matching-based training is intended to learn from the data i...

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