| 2026 | ACL | From Data-Centric to Sample-Centric: Enhancing LLM Reasoning via Progressive Optimization. | Xinjie Chen, Minpeng Liao, Guoxin Chen, Chengxi Li, Biao Fu, Kai Fan, Xinggao Liu |
| 2025 | ACL | Table-Critic: A Multi-Agent Framework for Collaborative Criticism and Refinement in Table Reasoning. | Peiying Yu, Guoxin Chen, Jingjing Wang |
| 2025 | EMNLP | DecoupleSearch: Decouple Planning and Search via Hierarchical Reward Modeling. | Hao Sun, Zile Qiao, Bo Wang, Guoxin Chen, Yingyan Hou, Yong Jiang, Pengjun Xie, Fei Huang, Yan Zhang |
| 2025 | ICLR | Learning Evolving Tools for Large Language Models. | Guoxin Chen, Zhong Zhang, Xin Cong, Fangda Guo, Yesai Wu, Yankai Lin, Wenzheng Feng, Yasheng Wang |
| 2025 | ICML | C-3PO: Compact Plug-and-Play Proxy Optimization to Achieve Human-like Retrieval-Augmented Generation. | Guoxin Chen, Minpeng Liao, Peiying Yu, Dingmin Wang, Zile Qiao, Chao Yang, Xin Zhao, Kai Fan |
| 2024 | ACL | SEER: Facilitating Structured Reasoning and Explanation via Reinforcement Learning. | Guoxin Chen, Kexin Tang, Chao Yang, Fuying Ye, Yu Qiao, Yiming Qian |
| 2024 | CIKM | FCS-HGNN: Flexible Multi-type Community Search in Heterogeneous Information Networks. | Guoxin Chen, Fangda Guo, Yongqing Wang, Yanghao Liu, Peiying Yu, Huawei Shen, Xueqi Cheng |
| 2024 | EMNLP | Step-level Value Preference Optimization for Mathematical Reasoning. | Guoxin Chen, Minpeng Liao, Chengxi Li, Kai Fan |
| 2023 | CIKM | Causality and Independence Enhancement for Biased Node Classification. | Guoxin Chen, Yongqing Wang, Fangda Guo, Qinglang Guo, Jiangli Shao, Huawei Shen, Xueqi Cheng |
| 2023 | EMNLP | MPrompt: Exploring Multi-level Prompt Tuning for Machine Reading Comprehension. | Guoxin Chen, Yiming Qian, Bowen Wang, Liangzhi Li |