ExpNote: Black-box Large Language Models are better Task Solvers with Experience Notebook. - Wangtao Sun; Xuanqing Yu; Shizhu He; Jun Zhao 001; Kang Liu 001 (EMNLP (Findings), 2023)

ItD: Large Language Models Can Teach Themselves Induction through Deduction. - Wangtao Sun; Haotian Xu; Xuanqing Yu; Pei Chen; Shizhu He; Jun Zhao 001; Kang Liu 001 (ACL (1), 2024)

ONSEP: A Novel Online Neural-Symbolic Framework for Event Prediction Based on Large Language Model. - Xuanqing Yu; Wangtao Sun; Jingwei Li; Kang Liu 001; Chengbao Liu; Jie Tan 003 (ACL (Findings), 2024)

Beyond Instruction Following: Evaluating Rule Following of Large Language Models. - Wangtao Sun; Chenxiang Zhang; Xueyou Zhang; Ziyang Huang; Haotian Xu; Pei Chen; Shizhu He; Jun Zhao 001; Kang Liu 001 (CoRR, 2024)

Improve Rule Retrieval and Reasoning with Self-Induction and Relevance ReEstimate. - Ziyang Huang; Wangtao Sun; Jun Zhao 001; Kang Liu 001 (ACL (Findings), 2025)

From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs. - Wangtao Sun; Shizhu He; Jun Zhao 001; Kang Liu 001 (COLING Workshops, 2025)

VaiBot: Shuttle Between the Instructions and Parameters of Large Language Models. - Wangtao Sun; Haotian Xu; Huanxuan Liao; Xuanqing Yu; Zhongtao Jiang; Shizhu He; Jun Zhao 001; Kang Liu 001 (CoRR, 2025)

Probabilistic Uncertain Reward Model: A Natural Generalization of Bradley-Terry Reward Model. - Wangtao Sun; Xiang Cheng; Xing Yu; Haotian Xu; Zhao Yang 004; Shizhu He; Jun Zhao 001; Kang Liu 001 (CoRR, 2025)

Amplify Adjacent Token Differences: Enhancing Long Chain-of-Thought Reasoning with Shift-FFN. - Yao Xu; Mingyu Xu; Fangyu Lei; Wangtao Sun; Xiangrong Zeng; Bingning Wang; Guang Liu; Shizhu He; Jun Zhao 001; Kang Liu 001 (CoRR, 2025)