Author

Xiang Bai

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Preprint Sep 2026

Unified Trajectory Matching Policy Optimization: Diverse T2I Generation and VLA Generalization

Reward-maximizing reinforcement learning (RL) is widely used to post-train stochastic diffusion and flow policies for text-to-image (T2I) generation. However, reward-maximizing RL causes policy mode collapse even under reference KL or entropy regularization, reducing the policy to a single high-reward mode. In T2I, thi...

Zhi-Yuan Ma, Jia-Ming Li, Ling-Zhen Li et al. · 0 citations

Preprint Jul 2026

DeltaV: Thinking with Visual State Updates in Unified Large Multimodal Models

DeltaV is proposed, a ULMM that replaces full-image generation with visual updates and introduces a temporal similarity (TSIM) Router, which stops allocating tokens once the marginal reconstruction gain falls below a threshold.

Pengjie Wang, Linger Deng, Zujian Zhang et al. · 1 citation