@article{NatureBench,title={NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers?},author={Wang, Yuru and Cheng, Lejun and Zuo, Yuxin and authors, +11 more and Ding, Ning and Zhou, Bowen and Zhang, Kaiyan},year={2026},journal={Preprint},}
EnterpriseClawBench: Benchmarking Agents from Real Workplace Sessions
Jincheng Zhong, Weizhi Wang, Che Jiang, +4 more authors, and Kaiyan Zhang†
@article{EnterpriseClawBench,title={EnterpriseClawBench: Benchmarking Agents from Real Workplace Sessions},author={Zhong, Jincheng and Wang, Weizhi and Jiang, Che and authors, +4 more and Zhang, Kaiyan},year={2026},journal={Preprint},}
Self-Improving Agents in the Era of Experience: A Survey of Self- to Meta-Evolution
Che Jiang, Jincheng Zhong, Yu Fu, +21 more authors, Ning Ding†, Kaiyan Zhang†, and Bowen Zhou†
@article{SelfImprovingAgentsSurvey,title={Self-Improving Agents in the Era of Experience: A Survey of Self- to Meta-Evolution},author={Jiang, Che and Zhong, Jincheng and Fu, Yu and authors, +21 more and Ding, Ning and Zhang, Kaiyan and Zhou, Bowen},year={2026},journal={Preprint},}
@article{TIRAgent,title={TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration},author={Zhang, Yisheng and Jia, Guoli and Hu, Haote and authors, +9 more and Zhang, Kaiyan and Zhou, Bowen},year={2026},journal={European Conference on Computer Vision (ECCV)},}
@article{MARTIMARS2,title={MARTI-MARS2: Scaling Multi-Agent Self-Search via Reinforcement Learning for Code Generation},author={Wang, Shijie and Li, Pengfei and Fu, Yikun and Liu, Kaifeng and Li, Fangyuan and Liu, Yang and authors, +10 more and Zhou, Bowen and Zhang, Kaiyan and Qi, Biqing},year={2026},journal={Preprint},}
MARTI: A Framework for Multi-Agent LLM Systems Reinforced Training and Inference
Kaiyan Zhang*†, Runze Liu*, Xuekai Zhu*, Kai Tian*, Sihang Zeng*, Guoli Jia*, Yuchen Fan*, Xingtai Lv*, Yuxin Zuo*, Che Jiang*, and 16 more authors
The Fourteenth International Conference on Learning Representations, 2026
@article{MARTI,title={MARTI: A Framework for Multi-Agent LLM Systems Reinforced Training and Inference},author={Zhang, Kaiyan and Liu, Runze and Zhu, Xuekai and Tian, Kai and Zeng, Sihang and Jia, Guoli and Fan, Yuchen and Lv, Xingtai and Zuo, Yuxin and Jiang, Che and Liu, Ziyang and Wang, Jianyu and Wang, Yuru and Zhao, Ruotong and Hua, Ermo and Wang, Yibo and Wang, Shijie and Gao, Junqi and Long, Xinwei and Sun, Youbang and Ma, Zhiyuan and Cui, Ganqu and Bai, Lei and Ding, Ning and Qi, Biqing and Zhou, Bowen},year={2026},journal={The Fourteenth International Conference on Learning Representations},}
2025
A Survey of Reinforcement Learning for Large Reasoning Models
Kaiyan Zhang*†, Yuxin Zuo*†, Bingxiang He*, Youbang Sun*, Runze Liu*, Che Jiang*, Yuchen Fan*, Kai Tian*, Guoli Jia*, Pengfei Li*, and 29 more authors
@article{RL4LRM,title={A Survey of Reinforcement Learning for Large Reasoning Models},author={Zhang, Kaiyan and Zuo, Yuxin and He, Bingxiang and Sun, Youbang and Liu, Runze and Jiang, Che and Fan, Yuchen and Tian, Kai and Jia, Guoli and Li, Pengfei and Fu, Yu and Lv, Xingtai and Zhang, Yuchen and Zeng, Sihang and Qu, Shang and Li, Haozhan and Wang, Shijie and Wang, Yuru and Long, Xinwei and Liu, Fangfu and Xu, Xiang and Ma, Jiaze and Zhu, Xuekai and Hua, Ermo and Liu, Yihao and Li, Zonglin and Chen, Huayu and Qu, Xiaoye and Li, Yafu and Chen, Weize and Yuan, Zhenzhao and Gao, Junqi and Li, Dong and Ma, Zhiyuan and Cui, Ganqu and Liu, Zhiyuan and Qi, Biqing and Ding, Ning and Zhou, Bowen},year={2025},journal={Preprint},}
@article{ReviewRL,title={ReviewRL: Towards Automated Scientific Review with RL},author={Zeng, Sihang and Tian, Kai and Zhang, Kaiyan and Gao, Junqi and Liu, Runze and Yang, Sa and Li, Jingxuan and Long, Xinwei and Ma, Jiaheng and Qi, Biqing and Zhou, Bowen},year={2025},journal={The 2025 Conference on Empirical Methods in Natural Language Processing},}
SSRL: Self-Search Reinforcement Learning
Yuchen Fan*, Kaiyan Zhang*†, Heng Zhou*, Yuxin Zuo, Yanxu Chen, Yu Fu, Xinwei Long, Xuekai Zhu, Che Jiang, Yuchen Zhang, and 8 more authors
@article{SSRL,title={SSRL: Self-Search Reinforcement Learning},author={Fan, Yuchen and Zhang, Kaiyan and Zhou, Heng and Zuo, Yuxin and Chen, Yanxu and Fu, Yu and Long, Xinwei and Zhu, Xuekai and Jiang, Che and Zhang, Yuchen and Kang, Li and Chen, Gang and Huang, Cheng and He, Zhizhou and Wang, Bingning and Bai, Lei and Ding, Ning and Zhou, Bowen},year={2025},journal={Preprint},}
TTRL: Test-Time Reinforcement Learning
Yuxin Zuo*, Kaiyan Zhang*†, Shang Qu, Li Sheng, Xuekai Zhu, Biqing Qi, Youbang Sun, Ganqu Cui†, Ning Ding, and Bowen Zhou
The Thirty-Ninth Annual Conference on Neural Information Processing Systems, 2025
@article{TTRL,title={TTRL: Test-Time Reinforcement Learning},author={Zuo, Yuxin and Zhang, Kaiyan and Qu, Shang and Sheng, Li and Zhu, Xuekai and Qi, Biqing and Sun, Youbang and Cui, Ganqu and Ding, Ning and Zhou, Bowen},year={2025},journal={The Thirty-Ninth Annual Conference on Neural Information Processing Systems},}
@article{OpenPRM,title={OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees},author={Zhang, Kaiyan and Zhang, Jiayuan and Li, Haoxin and Zhu, Xuekai and Hua, Ermo and Lv, Xingtai and Ding, Ning and Qi, Biqing and Zhou, Bowen},journal={The Thirteenth International Conference on Learning Representations},year={2025},}
@article{zhang2024fast,title={Fast and Slow Generating: An Empirical Study on Large and Small Language Models Collaborative Decoding},author={Zhang, Kaiyan and Wang, Jianyu and Ding, Ning and Qi, Biqing and Hua, Ermo and Lv, Xingtai and Zhou, Bowen},journal={ICML 2025 Workshop on MAS},year={2025},}
@article{zhang2024sgai,title={Towards Building Specialized Generalist AI with System 1 and System 2 Fusion},author={Zhang, Kaiyan and Qi, Biqing and Zhou, Bowen},journal={Preprint},year={2024},}
Ultramedical: Building specialized generalists in biomedicine
Kaiyan Zhang, Sihang Zeng, Ermo Hua, Ning Ding, Zhang-Ren Chen, Zhiyuan Ma, Haoxin Li, Ganqu Cui, Biqing Qi, Xuekai Zhu, and 1 more author
The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track, 2024
@article{zhang2024ultramedical,title={Ultramedical: Building specialized generalists in biomedicine},author={Zhang, Kaiyan and Zeng, Sihang and Hua, Ermo and Ding, Ning and Chen, Zhang-Ren and Ma, Zhiyuan and Li, Haoxin and Cui, Ganqu and Qi, Biqing and Zhu, Xuekai and others},journal={The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track},year={2024},}
@article{zhang2024cogenesis,title={CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following},author={Zhang, Kaiyan and Wang, Jianyu and Hua, Ermo and Qi, Biqing and Ding, Ning and Zhou, Bowen},journal={Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},year={2024},}
@article{qi2024large,title={Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation},author={Qi, Biqing and Zhang, Kaiyan and Tian, Kai and Li, Haoxiang and Chen, Zhang-Ren and Zeng, Sihang and Hua, Ermo and Jinfang, Hu and Zhou, Bowen},year={2024},journal={First Conference on Language Modeling},}
@article{zhang2023crash,title={CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model},author={Zhang, Kaiyan and Ding, Ning and Qi, Biqing and Zhu, Xuekai and Long, Xinwei and Zhou, Bowen},journal={Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing},year={2023},}
2021
SCIENTIA
A survey of multi-party dialogue research based on deep learning
@article{zhang2021survey,title={A survey of multi-party dialogue research based on deep learning},author={Zhang, Kaiyan and Zhang, Wei-Nan and Liu, Ting},journal={SCIENTIA SINICA Informationis},volume={51},number={8},pages={1217--1232},year={2021},}
