Xuanqing Yu

According to our database, Xuanqing Yu authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

TiMem: Temporal-Hierarchical Memory Consolidation for Long-Horizon Conversational Agents.

Kai Li, Xuanqing Yu, Ziyi Ni, Yi Zeng, Yao Xu, Zheqing Zhang, Xin Li, Jitao Sang, Xiaogang Duan, Xuelei Wang, Chengbao Liu, Jie Tan

CoRR, January, 2026

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

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

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, Kang Liu

CoRR, February, 2025

Beyond Instruction Following: Evaluating Inferential Rule Following of Large Language Models.

Wangtao Sun, Chenxiang Zhang, Xueyou Zhang, Xuanqing Yu, Ziyang Huang, Haotian Xu, Shizhu He, Jun Zhao, Kang Liu

Proceedings of the Chinese Computational Linguistics - 24th China National Conference, 2025

2024

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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

ItD: Large Language Models Can Teach Themselves Induction through Deduction.

Wangtao Sun, Haotian Xu, Xuanqing Yu, Pei Chen, Shizhu He, Jun Zhao, Kang Liu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

ExpNote: Black-box Large Language Models are better Task Solvers with Experience Notebook.

Wangtao Sun, Xuanqing Yu, Shizhu He, Jun Zhao, Kang Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023