Author

Jun Tang

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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

Contrastive On-Policy Distillation

COPD is proposed, a contrastive OPD framework that substantially reduces reasoning length without compromising model performance and consistently improves efficiency across different tasks and model scales.

Jiacheng Ruan, Jun Tang, Wenzhen Yuan et al. · arXiv.org · 2 citations

Preprint Jul 2026

Enhancing Large Multimodal Models in Key Information Extraction via Scene-Aware Document Synthesis

SAYRE is presented, a scene-aware document synthesis framework for generating scalable KIE training data without hand-crafted template design, and error analysis shows that synthesized training reduces field-level errors by improving schema-aware extraction over dense tables, business identifiers, and contract clauses.

Zhipeng Xu, Zulong Chen, Qing Liu et al. · 0 citations