most citedQwen3-VL Technical Report

16 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Learning Transferable Temporal Primitives for Video Reasoning via Synthetic Videos

Songtao Jiang, Sibo Song, Chenyi Zhou +12

The transition from image to video understanding requires vision-language models (VLMs) to shift from recognizing static patterns to reasoning over temporal dynamics such as motion…

cs.CV2026

From Narrow to Panoramic Vision: Attention-Guided Cold-Start Reshapes Multimodal Reasoning

Ruilin Luo, Chufan Shi, Yizhen Zhang +10

The cold-start initialization stage plays a pivotal role in training Multimodal Large Reasoning Models (MLRMs), yet its mechanisms remain insufficiently understood. To analyze this…

cs.CV2026

CodePercept: Code-Grounded Visual STEM Perception for MLLMs

Tongkun Guan, Zhibo Yang, Jianqiang Wan +10

When MLLMs fail at Science, Technology, Engineering, and Mathematics (STEM) visual reasoning, a fundamental question arises: is it due to perceptual deficiencies or reasoning limit…

cs.CV2025★ 16 cited

Qwen3-VL Technical Report

Shuai Bai, Yuxuan Cai, Ruizhe Chen +61

We introduce Qwen3-VL, the most capable vision-language model in the Qwen series to date, achieving superior performance across a broad range of multimodal benchmarks. It natively…

cs.CV2025

CAPO: Reinforcing Consistent Reasoning in Medical Decision-Making

Songtao Jiang, Yuan Wang, Ruizhe Chen +8

In medical visual question answering (Med-VQA), achieving accurate responses relies on three critical steps: precise perception of medical imaging data, logical reasoning grounded…