Author

Yuan-Zhi Liang

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Preprint Sep 2026

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

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 visual experience....

Ke-Chun Hao, Yuan-Zhi Liang, Ting Chen et al. · 1 citation · ⚡1

Preprint Aug 2026

Sample-Adaptive Latent Rewards for Uncertainty-Guided Diffusion Post-Training

A unified latent-space framework for image and video diffusion models that achieves the sota performance among various metrics and further improves optimization stability and achieves the highest VBench quality, semantic, and total scores among the evaluated methods.

Rui Li, Yuan-Zhi Liang, Ke-Chun Hao et al. · 0 citations

Review Jul 2026

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence

This work proposes a co-evolution roadmap for physical intelligence centered on theembodied brain, a long-term model target for integrating multimodal context, comparing candidate interventions, and issuing state-transition or capability requests rather than direct actuator commands.

Yuanzhi Liang, Xufeng Zhan, Haibin Huang et al. · 1 citation