Video-Reason

We bet on a future where video reasoning is the next fundamental intelligence paradigm.

🌐 Website · 💻 GitHub

About Us

Video-Reason investigates whether generative models can perform genuine reasoning—such as solving chess puzzles, navigating mazes, completing Sudoku, performing mental rotation, and solving Raven's matrices—directly through visual generation. We build open-source data, models, tools, and benchmarks for native visual reasoning.

Research Programs

Core Repositories

• VBVR-Pro — Training and inference for the VBVR-Pro image, interleaved-image, and video model families
• VBVR-Pro-Bench — Task-grounded evaluation and verifiable reward scorers for native visual reasoning
• Awesome-Video-Reasoning — A curated list of research papers on reasoning with video generation models

Citation

If you use our work in your research, please cite the corresponding paper.

VBVR-Pro

@article{vbvrpro2026,
  title   = {VBVR-Pro: A Scalable and Verifiable Suite for Native Visual Reasoning},
  author  = {Xu, Junxiang and Wang, Ruisi and Pu, Fanyi and Wang, Maijunxian and Ji, Ran and
             Zhou, Tongxi and Gu, Chenyang and Zuo, Jing and Xiao, Hongcan and Geng, Yimeng and
             Yin, Wanqi and Wei, Chen and Qian, Oscar and Yan, Zhengan and Huang, Ziqi and
             Diao, Haiwen and Pan, Liang and Li, Bo and Fan, Xiangyu and Luo, Dezhi and
             Yu, Fengyuan and Zhao, Zehong and Gao, Qingying and Zhu, Tinghui and Zhang, Yilan and
             Tong, Jingqi and Feng, Pinyuan and Jiang, Zhengze and Wang, Letian and Guo, Ziyu and
             Zhang, Renrui and Chen, Jieneng and Joseph, Sonia and Venhoff, Constantin and
             Motamed, Saman and Yang, Mengyue and Sripada, Chandra and Yuille, Alan and
             Torr, Philip and Zhang, Lvmin and Kumar, Vikash and Khashabi, Daniel and
             Kriegeskorte, Nikolaus and Milli{\`e}re, Rapha{\"e}l and M{\"u}ller, Vincent C. and
             Rao, Anyi and Wang, Quan and Liu, Ziwei and Lin, Dahua and Yang, Lei and
             Deng, Hokin and Cai, Zhongang},
  journal = {arXiv preprint arXiv:2608.26105},
  year    = {2026},
  url     = {https://arxiv.org/abs/2608.26105}
}

VBVR

@inproceedings{vbvr2026,
  title     = {A Very Big Video Reasoning Suite},
  author    = {Wang, Maijunxian and Wang, Ruisi and Lin, Juyi and Ji, Ran and Wiedemer, Thadd{\"a}us and
               Gao, Qingying and Luo, Dezhi and Qian, Yaoyao and Huang, Lianyu and Hong, Zelong and
               Ge, Jiahui and Ma, Qianli and He, Hang and Zhou, Yifan and Guo, Lingzi and Mei, Lantao and
               Li, Jiachen and Xing, Hanwen and Zhao, Tianqi and Yu, Fengyuan and Xiao, Weihang and
               Jiao, Yizheng and Hou, Jianheng and Zhang, Danyang and Xu, Pengcheng and Zhong, Boyang and
               Zhao, Zehong and Fang, Gaoyun and Kitaoka, John and Xu, Yile and Xu, Hua and
               Blacutt, Kenton and Nguyen, Tin and Song, Siyuan and Sun, Haoran and Wen, Shaoyue and
               He, Linyang and Wang, Runming and Wang, Yanzhi and Yang, Mengyue and Ma, Ziqiao and
               Milli{\`e}re, Rapha{\"e}l and Shi, Freda and Vasconcelos, Nuno and Khashabi, Daniel and
               Yuille, Alan and Du, Yilun and Liu, Ziming and Lin, Dahua and Liu, Ziwei and Kumar, Vikash and
               Li, Yijiang and Yang, Lei and Cai, Zhongang and Deng, Hokin},
  booktitle = {Proceedings of the 43rd International Conference on Machine Learning},
  year      = {2026},
  url       = {https://arxiv.org/abs/2602.20159}
}