| 2026 | ACL | Shuttle Between Symbolic Instructions and Neural Parameters of Large Language Models. | Wangtao Sun, Haotian Xu, Huanxuan Liao, Xuanqing Yu, Zhongtao Jiang, Shizhu He, Jun Zhao, Kang Liu |
| 2025 | ACL | Improve Rule Retrieval and Reasoning with Self-Induction and Relevance ReEstimate. | Ziyang Huang, Wangtao Sun, Jun Zhao, Kang Liu |
| 2025 | COLING | From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs. | Wangtao Sun, Shizhu He, Jun Zhao, Kang Liu |
| 2025 | EMNLP | KMatrix-2: A Comprehensive Heterogeneous Knowledge Collaborative Enhancement Toolkit for Large Language Model. | Shun Wu, Di Wu, Wangtao Sun, Ziyang Huang, Xiaowei Yuan, Kun Luo, Xueyou Zhang, Shizhu He, Jun Zhao, Kang Liu |
| 2024 | ACL | ItD: Large Language Models Can Teach Themselves Induction through Deduction. | Wangtao Sun, Haotian Xu, Xuanqing Yu, Pei Chen, Shizhu He, Jun Zhao, Kang Liu |
| 2024 | ACL | ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model. | Xuanqing Yu, Wangtao Sun, Jingwei Li, Kang Liu, Chengbao Liu, Jie Tan |
| 2023 | EMNLP | ExpNote: Black-box Large Language Models are better Task Solvers with Experience Notebook. | Wangtao Sun, Xuanqing Yu, Shizhu He, Jun Zhao, Kang Liu |