Zichuan Fu

According to our database, Zichuan Fu authored at least 8 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Unified Framework for Multi-Domain CTR Prediction via Large Language Models.

Zichuan Fu, Xiangyang Li, Chuhan Wu, Yichao Wang, Kuicai Dong, Xiangyu Zhao, Mengchen Zhao, Huifeng Guo, Ruiming Tang

ACM Trans. Inf. Syst., September, 2025

Model Merging for Knowledge Editing.

Zichuan Fu, Xian Wu, Guojing Li, Yingying Zhang, Yefeng Zheng, Tianshi Ming, Yejing Wang, Wanyu Wang, Xiangyu Zhao

CoRR, June, 2025

Sliding Window Attention Training for Efficient Large Language Models.

Zichuan Fu, Wentao Song, Yejing Wang, Xian Wu, Yefeng Zheng, Yingying Zhang, Derong Xu, Xuetao Wei, Tong Xu, Xiangyu Zhao

CoRR, February, 2025

AnchorCoT: Anchors Pave the Way for Multi-hop Reasoning.

Tianshi Ming, Xian Wu, Yingying Zhang, Zichuan Fu, Dawei Cheng

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Training-free LLM Merging for Multi-task Learning.

Zichuan Fu, Xian Wu, Yejing Wang, Wanyu Wang, Shanshan Ye, Hongzhi Yin, Yi Chang, Yefeng Zheng, Xiangyu Zhao

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs.

Yimin Deng, Yuxia Wu, Yejing Wang, Guoshuai Zhao, Li Zhu, Qidong Liu, Derong Xu, Zichuan Fu, Xian Wu, Yefeng Zheng, Xiangyu Zhao, Xueming Qian

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation.

Yuhao Wang, Yichao Wang, Zichuan Fu, Xiangyang Li, Xiangyu Zhao, Huifeng Guo, Ruiming Tang

CoRR, 2024

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation.

Yuhao Wang, Yichao Wang, Zichuan Fu, Xiangyang Li, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Huifeng Guo, Ruiming Tang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024