Author

Xue-Long Li

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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

Jul 2026

Generative Transmission: Rethinking Computation, Bandwidth, and Memory in Communication

Experimental results show that GenTrans supports effective video transmission under ultra-low-bitrate and weak-network conditions, achieving improved transmission efficiency, decoding efficiency, and robustness while preserving perceptual quality.

Xiangyu Chen, Ji-Xiang Luo, Yuan-Kai Fan et al. · arXiv.org · 2 citations

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