Yiqun Chen

According to our database, Yiqun Chen authored at least 27 papers between 2021 and 2026.

Collaborative distances:

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

2026

Tournament-GRPO: Group-Wise Tournament Rewards for Reinforcement Learning in Open-Ended Long-Form Generation.

Zixuan Yang, Yiqun Chen, Wei Yang, Erhan Zhang, Zihan Shen, Xiaochi Wei, Yan Gao, Yi Wu, Yao Hu, Jiaxin Mao

CoRR, May, 2026

UnityMAS-O: A General RL Optimization Framework for LLM-Based Multi-Agent Systems.

Yiqun Chen, Wei Yang, Erhan Zhang, Shijie Wang, Qi Liu, Zechun Niu, Bin Zhang, Haitao Li, Rui Li, Lingyong Yan, Jinyuan Feng, Biqing Qi, Xiaochi Wei, Yan Gao, Yi Wu, Yao Hu, Jiaxin Mao

CoRR, May, 2026

Focus on the Core: Empowering Diffusion Large Language Models by Self-Contrast.

Jinyuan Feng, Xin Yu, Yiqun Chen, Xiaochi Wei, Yan Gao, Yi Wu, Yao Hu, Zhiqiang Pu

CoRR, May, 2026

PRAISE: Prefix-Based Rollout Reuse in Agentic Search Training.

Erhan Zhang, Yiqun Chen, Zechun Niu, Wei Yang, Xiaochi Wei, Yan Gao, Yi Wu, Yao Hu, Jiaxin Mao

CoRR, April, 2026

FITMM: Adaptive Frequency-Aware Multimodal Recommendation via Information-Theoretic Representation Learning.

Wei Yang, Rui Zhong, Yiqun Chen, Shixuan Li, Heng Ping, Chi Lu, Peng Jiang

CoRR, January, 2026

Self-Compression of Chain-of-Thought via Multi-Agent Reinforcement Learning.

Yiqun Chen, Jinyuan Feng, Wei Yang, Meizhi Zhong, Zhengliang Shi, Rui Li, Xiaochi Wei, Yan Gao, Yi Wu, Yao Hu, Zhiqiang Pu, Jiaxin Mao

CoRR, January, 2026

JADE: Bridging the Strategic-Operational Gap in Dynamic Agentic RAG.

Yiqun Chen, Erhan Zhang, Tianyi Hu, Shijie Wang, Zixuan Yang, Meizhi Zhong, Xiaochi Wei, Yan Gao, Yi Wu, Yao Hu, Jiaxin Mao

CoRR, January, 2026

Beyond Monolithic Architectures: A Multi-Agent Search and Knowledge Optimization Framework for Agentic Search.

Yiqun Chen, Lingyong Yan, Zixuan Yang, Erhan Zhang, Jiashu Zhao, Shuaiqiang Wang, Dawei Yin, Jiaxin Mao

CoRR, January, 2026

2025

Deep Research: A Systematic Survey.

Zhengliang Shi, Yiqun Chen, Haitao Li, Weiwei Sun, Shiyu Ni, Yougang Lyu, Run-Ze Fan, Bowen Jin, Yixuan Weng, Minjun Zhu, Qiujie Xie, Xinyu Guo, Qu Yang, Jiayi Wu, Jujia Zhao, Xiaqiang Tang, Xinbei Ma, Cunxiang Wang, Jiaxin Mao, Qingyao Ai, Jen-tse Huang, Wenxuan Wang, Yue Zhang, Yiming Yang, Zhaopeng Tu, Zhaochun Ren

CoRR, December, 2025

Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation.

Wei Yang, Rui Zhong, Yiqun Chen, Chi Lu, Peng Jiang

CoRR, December, 2025

MAO-ARAG: Multi-Agent Orchestration for Adaptive Retrieval-Augmented Generation.

Yiqun Chen, Erhan Zhang, Lingyong Yan, Shuaiqiang Wang, Jizhou Huang, Dawei Yin, Jiaxin Mao

CoRR, August, 2025

Towards AI Search Paradigm.

Yuchen Li, Hengyi Cai, Rui Kong, Xinran Chen, Jiamin Chen, Jun Yang, Haojie Zhang, Jiayi Li, Jiayi Wu, Yiqun Chen, Changle Qu, Keyi Kong, Wenwen Ye, Lixin Su, Xinyu Ma, Long Xia, Daiting Shi, Jiashu Zhao, Haoyi Xiong, Shuaiqiang Wang, Dawei Yin

CoRR, June, 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

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

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

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

FITMM: Adaptive Frequency-Aware Multimodal Recommendation via Information-Theoretic Representation Learning.

Wei Yang, Rui Zhong, Yiqun Chen, Shixuan Li, Heng Ping, Chi Lu, Peng Jiang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

CLUE: Using Large Language Models for Judging Document Usefulness in Web Search Evaluation.

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

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