Yuanqing Yu

According to our database, Yuanqing Yu authored at least 14 papers between 2022 and 2026.

Collaborative distances:

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

2026

APAO: Adaptive Prefix-Aware Optimization for Generative Recommendation.

Yuanqing Yu, Yifan Wang, Weizhi Ma, Zhiqiang Guo, Min Zhang

CoRR, March, 2026

2025

Intelligent Agents with Adaptive Knowledge Fusion for Personalized Recommendation.

Yuanqing Yu, Zhefan Wang, Chumeng Jiang, Xinyi Li, Jiayin Wang, Min Zhang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

SPRec: Self-Play to Debias LLM-based Recommendation.

Chongming Gao, Ruijun Chen, Shuai Yuan, Kexin Huang, Yuanqing Yu, Xiangnan He

Proceedings of the ACM on Web Conference 2025, 2025

AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems.

Yu Shang, Peijie Liu, Yuwei Yan, Zijing Wu, Leheng Sheng, Yuanqing Yu, Chumeng Jiang, An Zhang, Fengli Xu, Yu Wang, Min Zhang, Yong Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

ToolACE: Winning the Points of LLM Function Calling.

Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

StepTool: Enhancing Multi-Step Tool Usage in LLMs via Step-Grained Reinforcement Learning.

Yuanqing Yu, Zhefan Wang, Weizhi Ma, Shuai Wang, Chuhan Wu, Zhiqiang Guo, Min Zhang

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

SPRec: Leveraging Self-Play to Debias Preference Alignment for Large Language Model-based Recommendations.

Chongming Gao, Ruijun Chen, Shuai Yuan, Kexin Huang, Yuanqing Yu, Xiangnan He

CoRR, 2024

StepTool: A Step-grained Reinforcement Learning Framework for Tool Learning in LLMs.

Yuanqing Yu, Zhefan Wang, Weizhi Ma, Zhicheng Guo, Jingtao Zhan, Shuai Wang, Chuhan Wu, Zhiqiang Guo, Min Zhang

CoRR, 2024

Multi-Agent Collaboration Framework for Recommender Systems.

Zhefan Wang, Yuanqing Yu, Wendi Zheng, Weizhi Ma, Min Zhang

CoRR, 2024

EasyRL4Rec: A User-Friendly Code Library for Reinforcement Learning Based Recommender Systems.

Yuanqing Yu, Chongming Gao, Jiawei Chen, Heng Tang, Yuefeng Sun, Qian Chen, Weizhi Ma, Min Zhang

CoRR, 2024

EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems.

Yuanqing Yu, Chongming Gao, Jiawei Chen, Heng Tang, Yuefeng Sun, Qian Chen, Weizhi Ma, Min Zhang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

MACRec: A Multi-Agent Collaboration Framework for Recommendation.

Zhefan Wang, Yuanqing Yu, Wendi Zheng, Weizhi Ma, Min Zhang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2023

Two-sided Calibration for Quality-aware Responsible Recommendation.

Chenyang Wang, Yankai Liu, Yuanqing Yu, Weizhi Ma, Min Zhang, Yiqun Liu, Haitao Zeng, Junlan Feng, Chao Deng

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022

Towards Representation Alignment and Uniformity in Collaborative Filtering.

Chenyang Wang, Yuanqing Yu, Weizhi Ma, Min Zhang, Chong Chen, Yiqun Liu, Shaoping Ma

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022