Selected Publications
- [11] Kaiyan Zhang, Sihang Zeng, Ermo Hua, Ning Ding, Zhang-Ren Chen, Zhiyuan Ma, Haoxin Li, Ganqu Cui, Biqing Qi, Xuekai Zhu, Xingtai Lv, Hu Jinfang, Zhiyuan Liu, Bowen Zhou. Ultramedical: Building specialized generalists in biomedicine. NeurIPS 2024
- [12] Kaiyan Zhang, Jianyu Wang, Ermo Hua, Biqing Qi, Ning Ding, Bowen Zhou. Cogenesis: A framework collaborating large and small language models for secure context-aware instruction following. ACL 2024
- [13] Biqing Qi, Junqi Gao, Kaiyan Zhang, Dong Li, Jianxing Liu, Ligang Wu, Bowen Zhou. Smr: State memory replay for long sequence modeling. ACL 2024
- [14] Biqing Qi, Kaiyan Zhang, Kai Tian, Haoxiang Li, Zhang-Ren Chen, Sihang Zeng, Ermo Hua, Hu Jinfang, Bowen Zhou. Large language models as biomedical hypothesis generators: a comprehensive evaluation. COLM 2024
- [15] Dayuan Fu, Biqing Qi, Yihuai Gao, Che Jiang, Guanting Dong, Bowen Zhou. MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making. EMNLP 2024
- [16] Xiangyu Hong, Che Jiang, Biqing Qi, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou. On the token distance modeling ability of higher RoPE attention dimension. EMNLP 2024
- [17] 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
- [18] Yulin Chen, Ning Ding, Hai-Tao Zheng, Zhiyuan Liu, Maosong Sun, Bowen Zhou. Empowering private tutoring by chaining large language models. CIKM 2024
- [19] 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. ICLR 2025
- [20] Kaiyan Zhang, Jiayuan Zhang, Haoxin Li, Xuekai Zhu, Ermo Hua, Xingtai Lv, Ning Ding, Biqing Qi, Bowen Zhou. OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees. ICLR 2025
MOBILE Version