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ORCIDBowen Zhou 0002
- > Home > Persons > Bowen Zhou 0002
Publications
- 2025
[c39]Ning Ding, Yulin Chen, Ganqu Cui, Xingtai Lv, Weilin Zhao, Kaiyan Zhang, Ruobing Xie, Bowen Zhou, Zhiyuan Liu, Maosong Sun:
Fusing Highly Specialized Language Models for Comprehensive Expertise. ACL (1) 2025: 854-878- [c35]Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Boji Shan, Zeyuan Liu, Jia Deng, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun:
Advancing LLM Reasoning Generalists with Preference Trees. ICLR 2025 - [c32]Lifan Yuan, Wendi Li, Huayu Chen, Ganqu Cui, Ning Ding, Kaiyan Zhang, Bowen Zhou, Zhiyuan Liu, Hao Peng:
Free Process Rewards without Process Labels. ICML 2025 - [i100]Ganqu Cui, Lifan Yuan, Zefan Wang, Hanbin Wang, Wendi Li, Bingxiang He, Yuchen Fan, Tianyu Yu, Qixin Xu, Weize Chen, Jiarui Yuan, Huayu Chen, Kaiyan Zhang, Xingtai Lv, Shuo Wang, Yuan Yao, Xu Han, Hao Peng, Yu Cheng, Zhiyuan Liu, Maosong Sun, Bowen Zhou, Ning Ding:
Process Reinforcement through Implicit Rewards. CoRR abs/2502.01456 (2025) - [i96]Xiaoye Qu, Yafu Li, Zhaochen Su, Weigao Sun, Jianhao Yan, Dongrui Liu, Ganqu Cui, Daizong Liu, Shuxian Liang, Junxian He, Peng Li, Wei Wei, Jing Shao, Chaochao Lu, Yue Zhang, Xian-Sheng Hua, Bowen Zhou, Yu Cheng:
A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond. CoRR abs/2503.21614 (2025) - [i94]Yuxin Zuo, Kaiyan Zhang, Shang Qu, Li Sheng, Xuekai Zhu, Biqing Qi, Youbang Sun, Ganqu Cui, Ning Ding, Bowen Zhou:
TTRL: Test-Time Reinforcement Learning. CoRR abs/2504.16084 (2025) - [i88]Ganqu Cui, Yuchen Zhang, Jiacheng Chen, Lifan Yuan, Zhi Wang, Yuxin Zuo, Haozhan Li, Yuchen Fan, Huayu Chen, Weize Chen, Zhiyuan Liu, Hao Peng, Lei Bai, Wanli Ouyang, Yu Cheng, Bowen Zhou, Ning Ding:
The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models. CoRR abs/2505.22617 (2025) - [i82]Peiji Li, Jiasheng Ye, Yongkang Chen, Yichuan Ma, Zijie Yu, Kedi Chen, Ganqu Cui, Haozhan Li, Jiacheng Chen, Chengqi Lyu, Wenwei Zhang, Linyang Li, Qipeng Guo, Dahua Lin, Bowen Zhou, Kai Chen:
InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling. CoRR abs/2508.08636 (2025) - [i73]Kaiyan Zhang, Yuxin Zuo, Bingxiang He, Youbang Sun, Runze Liu, Che Jiang, Yuchen Fan, Kai Tian, Guoli Jia, Pengfei Li, Yu Fu, Xingtai Lv, Yuchen Zhang, Sihang Zeng, Shang Qu, Haozhan Li, Shijie Wang, Yuru Wang, Xinwei Long, Fangfu Liu, Xiang Xu, Jiaze Ma, Xuekai Zhu, Ermo Hua, Yihao Liu, Zonglin Li, Huayu Chen, Xiaoye Qu, Yafu Li, Weize Chen, Zhenzhao Yuan, Junqi Gao, Dong Li, Zhiyuan Ma, Ganqu Cui, Zhiyuan Liu, Biqing Qi, Ning Ding, Bowen Zhou:
A Survey of Reinforcement Learning for Large Reasoning Models. CoRR abs/2509.08827 (2025) - [i72]Haozhan Li, Yuxin Zuo, Jiale Yu, Yuhao Zhang, Zhaohui Yang, Kaiyan Zhang, Xuekai Zhu, Yuchen Zhang, Tianxing Chen, Ganqu Cui, Dehui Wang, Dingxiang Luo, Yuchen Fan, Youbang Sun, Jia Zeng, Jiangmiao Pang, Shanghang Zhang, Yu Wang, Yao Mu, Bowen Zhou, Ning Ding:
SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning. CoRR abs/2509.09674 (2025) - [i70]Xuekai Zhu, Daixuan Cheng, Dinghuai Zhang, Hengli Li, Kaiyan Zhang, Che Jiang, Youbang Sun, Ermo Hua, Yuxin Zuo, Xingtai Lv, Qizheng Zhang, Lin Chen, Fanghao Shao, Bo Xue, Yunchong Song, Zhenjie Yang, Ganqu Cui, Ning Ding, Jianfeng Gao, Xiaodong Liu, Bowen Zhou, Hongyuan Mei, Zhouhan Lin:
FlowRL: Matching Reward Distributions for LLM Reasoning. CoRR abs/2509.15207 (2025) - [i68]Wei Zhang, Jack Yang, Renshuai Tao, Lingzheng Chai, Shawn Guo, Jiajun Wu, Xiaoming Chen, Ganqu Cui, Ning Ding, Xander Xu, Hu Wei, Bowen Zhou:
V-GameGym: Visual Game Generation for Code Large Language Models. CoRR abs/2509.20136 (2025) - 2024
- [c18]Xingtai Lv, Ning Ding, Kaiyan Zhang, Ermo Hua, Ganqu Cui, Bowen Zhou:
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention. EMNLP 2024: 14588-14599 - [c12]Kaiyan Zhang, Sihang Zeng, Ermo Hua, Ning Ding, Zhang-Ren Chen, Zhiyuan Ma, Haoxin Li, Ganqu Cui, Biqing Qi, Xuekai Zhu, Xingtai Lv, Jinfang Hu, Zhiyuan Liu, Bowen Zhou:
UltraMedical: Building Specialized Generalists in Biomedicine. NeurIPS 2024 - [i54]Ning Ding, Yulin Chen, Ganqu Cui, Xingtai Lv, Weilin Zhao, Ruobing Xie, Bowen Zhou, Zhiyuan Liu, Maosong Sun:
Mastering Text, Code and Math Simultaneously via Fusing Highly Specialized Language Models. CoRR abs/2403.08281 (2024) - [i51]Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Jia Deng, Boji Shan, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun:
Advancing LLM Reasoning Generalists with Preference Trees. CoRR abs/2404.02078 (2024) - [i47]Kaiyan Zhang, Sihang Zeng, Ermo Hua, Ning Ding, Zhang-Ren Chen, Zhiyuan Ma, Haoxin Li, Ganqu Cui, Biqing Qi, Xuekai Zhu, Xingtai Lv, Jinfang Hu, Zhiyuan Liu, Bowen Zhou:
UltraMedical: Building Specialized Generalists in Biomedicine. CoRR abs/2406.03949 (2024) - [i31]Xingtai Lv, Ning Ding, Kaiyan Zhang, Ermo Hua, Ganqu Cui, Bowen Zhou:
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention. CoRR abs/2411.02063 (2024) - [i28]Lifan Yuan, Wendi Li, Huayu Chen, Ganqu Cui, Ning Ding, Kai Zhang, Bowen Zhou, Zhiyuan Liu, Hao Peng:
Free Process Rewards without Process Labels. CoRR abs/2412.01981 (2024)
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