Zhong Zhang

According to our database, Zhong Zhang authored at least 27 papers between 2018 and 2025.

Collaborative distances:

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

2025

AgentCPM-GUI: Building Mobile-Use Agents with Reinforcement Fine-Tuning.

Zhong Zhang, Yaxi Lu, Yikun Fu, Yupeng Huo, Shenzhi Yang, Yesai Wu, Han Si, Xin Cong, Haotian Chen, Yankai Lin, Jie Xie, Wei Zhou, Wang Xu, Yuanheng Zhang, Zhou Su, Zhongwu Zhai, Xiaoming Liu, Yudong Mei, Jianming Xu, Hongyan Tian, Chongyi Wang, Chi Chen, Yuan Yao, Zhiyuan Liu, Maosong Sun

CoRR, June, 2025

ToLeaP: Rethinking Development of Tool Learning with Large Language Models.

Haotian Chen, Zijun Song, Boye Niu, Ke Zhang, Litu Ou, Yaxi Lu, Zhong Zhang, Xin Cong, Yankai Lin, Zhiyuan Liu, Maosong Sun

CoRR, May, 2025

AC-Reason: Towards Theory-Guided Actual Causality Reasoning with Large Language Models.

Yanxi Zhang, Xin Cong, Zhong Zhang, Xiao Liu, Dongyan Zhao, Yesai Wu

CoRR, May, 2025

Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance.

Yaxi Lu, Shenzhi Yang, Cheng Qian, Guirong Chen, Qinyu Luo, Yesai Wu, Huadong Wang, Xin Cong, Zhong Zhang, Yankai Lin, Weiwen Liu, Yasheng Wang, Zhiyuan Liu, Fangming Liu, Maosong Sun

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models.

Shengda Fan, Xin Cong, Yuepeng Fu, Zhong Zhang, Shuyan Zhang, Yuanwei Liu, Yesai Wu, Yankai Lin, Zhiyuan Liu, Maosong Sun

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Learning Evolving Tools for Large Language Models.

Guoxin Chen, Zhong Zhang, Xin Cong, Fangda Guo, Yesai Wu, Yankai Lin, Wenzheng Feng, Yasheng Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

AgentRM: Enhancing Agent Generalization with Reward Modeling.

Yu Xia, Jingru Fan, Weize Chen, Siyu Yan, Xin Cong, Zhong Zhang, Yaxi Lu, Yankai Lin, Zhiyuan Liu, Maosong Sun

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

Distance between Relevant Information Pieces Causes Bias in Long-Context LLMs.

Runchu Tian, Yanghao Li, Yuepeng Fu, Siyang Deng, Qinyu Luo, Cheng Qian, Shuo Wang, Xin Cong, Zhong Zhang, Yesai Wu, Yankai Lin, Huadong Wang, Xiaojiang Liu

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

Learning to Generate Structured Output with Schema Reinforcement Learning.

Yaxi Lu, Haolun Li, Xin Cong, Zhong Zhang, Yesai Wu, Yankai Lin, Zhiyuan Liu, Fangming Liu, Maosong Sun

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

Enhancing Open-Domain Task-Solving Capability of LLMs via Autonomous Tool Integration from GitHub.

Bohan Lyu, Xin Cong, Heyang Yu, Pan Yang, Cheng Qian, Zihe Wang, Yujia Qin, Yining Ye, Yaxi Lu, Chen Qian, Zhong Zhang, Yukun Yan, Yankai Lin, Zhiyuan Liu, Maosong Sun

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

2024

RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation.

Qinyu Luo, Yining Ye, Shihao Liang, Zhong Zhang, Yujia Qin, Yaxi Lu, Yesai Wu, Xin Cong, Yankai Lin, Yingli Zhang, Xiaoyin Che, Zhiyuan Liu, Maosong Sun

CoRR, 2024

Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents.

Cheng Qian, Bingxiang He, Zhong Zhuang, Jia Deng, Yujia Qin, Xin Cong, Zhong Zhang, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun

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

2023

GitAgent: Facilitating Autonomous Agent with GitHub by Tool Extension.

Bohan Lyu, Xin Cong, Heyang Yu, Pan Yang, Yujia Qin, Yining Ye, Yaxi Lu, Zhong Zhang, Yukun Yan, Yankai Lin, Zhiyuan Liu, Maosong Sun

CoRR, 2023

Seeing Is Not Always Believing: Invisible Collision Attack and Defence on Pre-Trained Models.

Minghang Deng, Zhong Zhang, Junming Shao

CoRR, 2023

Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation.

Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Fine-tuning Happens in Tiny Subspaces: Exploring Intrinsic Task-specific Subspaces of Pre-trained Language Models.

Zhong Zhang, Bang Liu, Junming Shao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Pixel-wise triplet learning for enhancing boundary discrimination in medical image segmentation.

Yang Wen, Leiting Chen, Yu Deng, Zhong Zhang, Chuan Zhou

Knowl. Based Syst., 2022

Mixhead: Breaking the low-rank bottleneck in multi-head attention language models.

Zhong Zhang, Nian Shao, Chongming Gao, Rui Miao, Qinli Yang, Junming Shao

Knowl. Based Syst., 2022

2020

Structured subspace embedding on attributed networks.

Zhongjing Yu, Zhong Zhang, Haoran Chen, Junming Shao

Inf. Sci., 2020

Semantic trajectory representation and retrieval via hierarchical embedding.

Chongming Gao, Zhong Zhang, Chen Huang, Hongzhi Yin, Qinli Yang, Junming Shao

Inf. Sci., 2020

Revisiting Representation Degeneration Problem in Language Modeling.

Zhong Zhang, Chongming Gao, Cong Xu, Rui Miao, Qinli Yang, Junming Shao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Community Detection and Link Prediction via Cluster-driven Low-rank Matrix Completion.

Junming Shao, Zhong Zhang, Zhongjing Yu, Jun Wang, Yi Zhao, Qinli Yang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

SemiSync: Semi-supervised Clustering by Synchronization.

Zhong Zhang, Didi Kang, Chongming Gao, Junming Shao

Proceedings of the Database Systems for Advanced Applications, 2019

Towards Robust Arbitrarily Oriented Subspace Clustering.

Zhong Zhang, Chongming Gao, Chongzhi Liu, Qinli Yang, Junming Shao

Proceedings of the Database Systems for Advanced Applications, 2019

BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation.

Chongming Gao, Shuai Yuan, Zhong Zhang, Hongzhi Yin, Junming Shao

Proceedings of the Database Systems for Advanced Applications, 2019

2018

Multi-view Discriminative Learning via Joint Non-negative Matrix Factorization.

Zhong Zhang, Zhili Qin, Peiyan Li, Qinli Yang, Junming Shao

Proceedings of the Database Systems for Advanced Applications, 2018

Graph Clustering with Local Density-Cut.

Junming Shao, Qinli Yang, Zhong Zhang, Jinhu Liu, Stefan Kramer

Proceedings of the Database Systems for Advanced Applications, 2018