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Dreaming in Flow: Generative Grounding Feedback for Self-Evolving Unified Multimodal Models

Hao, Ke et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
Unified multimodal models integrate visual understanding and generation within a single network, yet the two capabilities are commonly optimized as separate tasks. We introduce Generative Grounding Feedback(GGF), a self-evolving post-training framework that uses only text prompts and the model's own
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