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Dingkang Liang

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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 Aug 2026

Qwen-Drive-1.0: An Initial Step towards a Vision-Language Foundation Model for Autonomous Driving

Experiments demonstrate strong 3D perception and driving scene understanding while largely preserving general vision-language capability and comprehensive evaluations across open-loop, pseudo-closed-loop, and closed-loop settings further show highly competitive motion-planning performance.

Xin Zhou, Zongchuang Zhao, Zhibo Yang et al. · 9 citations · ⚡2
Jul 2026

TurboVLA: Real-Time Vision-Language-Action Model at 32 Hz on an RTX 4090 with <1 GB VRAM

TurboVLA is introduced, a new VLA paradigm that reformulates the conventional LLM-centric pathway as a direct VLA mapping, and constructs task-conditioned representations directly from visual and linguistic features, significantly reducing the computational and memory costs of VLA inference.

Heng-Yi Xie, Chen-Fei Yao, Xian Wu et al. · 6 citations · ⚡2

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