Yiqun Chen

According to our database, Yiqun Chen authored at least 13 papers between 2021 and 2025.

Collaborative distances:

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

2025

Leveraging LLMs to Evaluate Usefulness of Document.

Xingzhu Wang, Erhan Zhang, Yiqun Chen, Jinghan Xuan, Yucheng Hou, Yitong Xu, Ying Nie, Shuaiqiang Wang, Dawei Yin, Jiaxin Mao

CoRR, June, 2025

LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking.

Qi Liu, Haozhe Duan, Yiqun Chen, Quanfeng Lu, Weiwei Sun, Jiaxin Mao

CoRR, April, 2025

Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning.

Yiqun Chen, Lingyong Yan, Weiwei Sun, Xinyu Ma, Yi Zhang, Shuaiqiang Wang, Dawei Yin, Yiming Yang, Jiaxin Mao

CoRR, January, 2025

MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification.

Yiqun Chen, Jiaxin Mao, Yi Zhang, Dehong Ma, Long Xia, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin

Proceedings of the ACM on Web Conference 2025, 2025

TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy.

Yiqun Chen, Qi Liu, Yi Zhang, Weiwei Sun, Xinyu Ma, Wei Yang, Daiting Shi, Jiaxin Mao, Dawei Yin

Proceedings of the ACM on Web Conference 2025, 2025

2024

TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy.

Yiqun Chen, Qi Liu, Yi Zhang, Weiwei Sun, Daiting Shi, Jiaxin Mao, Dawei Yin

CoRR, 2024

PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning.

Yiqun Chen, Hangyu Mao, Jiaxin Mao, Shiguang Wu, Tianle Zhang, Bin Zhang, Wei Yang, Hongxing Chang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning.

Hangyu Mao, Rui Zhao, Ziyue Li, Zhiwei Xu, Hao Chen, Yiqun Chen, Bin Zhang, Zhen Xiao, Junge Zhang, Jiangjin Yin

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2022

Transformer in Transformer as Backbone for Deep Reinforcement Learning.

Hangyu Mao, Rui Zhao, Hao Chen, Jianye Hao, Yiqun Chen, Dong Li, Junge Zhang, Zhen Xiao

CoRR, 2022

PTDE: Personalized Training with Distillated Execution for Multi-Agent Reinforcement Learning.

Yiqun Chen, Hangyu Mao, Tianle Zhang, Shiguang Wu, Bin Zhang, Jianye Hao, Dong Li, Bin Wang, Hongxing Chang

CoRR, 2022

Commander-Soldiers Reinforcement Learning for Cooperative Multi-Agent Systems.

Yiqun Chen, Wei Yang, Tianle Zhang, Shiguang Wu, Hongxing Chang

Proceedings of the International Joint Conference on Neural Networks, 2022

Multi-Agent Hyper-Attention Policy Optimization.

Bin Zhang, Zhiwei Xu, Yiqun Chen, Dapeng Li, Yunpeng Bai, Guoliang Fan, Lijuan Li

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

An Effective Implicit Multi-interest Interaction Network for Recommendation.

Wei Yang, Xinxin Fan, Yiqun Chen, Feimo Li, Hongxing Chang

Proceedings of the Neural Information Processing - 28th International Conference, 2021