Rui Ye

According to our database, Rui Ye authored at least 33 papers between 2022 and 2025.

Collaborative distances:

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

2025

BrowseMaster: Towards Scalable Web Browsing via Tool-Augmented Programmatic Agent Pair.

Xianghe Pang, Shuo Tang, Rui Ye, Yuwen Du, Yaxin Du, Siheng Chen

CoRR, August, 2025

SciMaster: Towards General-Purpose Scientific AI Agents, Part I. X-Master as Foundation: Can We Lead on Humanity's Last Exam?

Jingyi Chai, Shuo Tang, Rui Ye, Yuwen Du, Xinyu Zhu, Mengcheng Zhou, Yanfeng Wang, Weinan E, Yuzhi Zhang, Linfeng Zhang, Siheng Chen

CoRR, July, 2025

ML-Agent: Reinforcing LLM Agents for Autonomous Machine Learning Engineering.

Zexi Liu, Jingyi Chai, Xinyu Zhu, Shuo Tang, Rui Ye, Bolun Zhang, Lei Bai, Siheng Chen

CoRR, May, 2025

X-MAS: Towards Building Multi-Agent Systems with Heterogeneous LLMs.

Rui Ye, Xiangrui Liu, Qimin Wu, Xianghe Pang, Zhenfei Yin, Lei Bai, Siheng Chen

CoRR, May, 2025

MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems.

Rui Ye, Keduan Huang, Qimin Wu, Yuzhu Cai, Tian Jin, Xianghe Pang, Xiangrui Liu, Jiaqi Su, Chen Qian, Bohan Tang, Kaiqu Liang, Jiaao Chen, Yue Hu, Zhenfei Yin, Rongye Shi, Bo An, Yang Gao, Wenjun Wu, Lei Bai, Siheng Chen

CoRR, May, 2025

Incentivizing Inclusive Contributions in Model Sharing Markets.

Enpei Zhang, Jingyi Chai, Rui Ye, Yanfeng Wang, Siheng Chen

CoRR, May, 2025

FedMABench: Benchmarking Mobile Agents on Decentralized Heterogeneous User Data.

Wenhao Wang, Zijie Yu, Rui Ye, Jianqing Zhang, Siheng Chen, Yanfeng Wang

CoRR, March, 2025

MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems.

Rui Ye, Shuo Tang, Rui Ge, Yaxin Du, Zhenfei Yin, Siheng Chen, Jing Shao

CoRR, March, 2025

FedMobileAgent: Training Mobile Agents Using Decentralized Self-Sourced Data from Diverse Users.

Wenhao Wang, Zijie Yu, William Liu, Rui Ye, Tian Jin, Siheng Chen, Yanfeng Wang

CoRR, February, 2025

Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models.

Rui Ye, Jingyi Chai, Xiangrui Liu, Yaodong Yang, Yanfeng Wang, Siheng Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation.

Shuo Tang, Xianghe Pang, Zexi Liu, Bohan Tang, Rui Ye, Tian Jin, Xiaowen Dong, Yanfeng Wang, Siheng Chen

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

FedDQC: Data Quality Control in Federated Instruction-tuning of Large Language Models.

Yaxin Du, Rui Ye, Fengting Yuchi, Wanru Zhao, Jingjing Qu, Yanfeng Wang, Siheng Chen

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

2024

FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units.

Shaoheng Fang, Rui Ye, Wenhao Wang, Zuhong Liu, Yuxiao Wang, Yafei Wang, Siheng Chen, Yanfeng Wang

IEEE Trans. Intell. Transp. Syst., November, 2024

GPA-Net:No-Reference Point Cloud Quality Assessment With Multi-Task Graph Convolutional Network.

Ziyu Shan, Qi Yang, Rui Ye, Yujie Zhang, Yiling Xu, Xiaozhong Xu, Shan Liu

IEEE Trans. Vis. Comput. Graph., August, 2024

Are We There Yet? Revealing the Risks of Utilizing Large Language Models in Scholarly Peer Review.

Rui Ye, Xianghe Pang, Jingyi Chai, Jiaao Chen, Zhenfei Yin, Zhen Xiang, Xiaowen Dong, Jing Shao, Siheng Chen

CoRR, 2024

Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation.

Shuo Tang, Xianghe Pang, Zexi Liu, Bohan Tang, Rui Ye, Xiaowen Dong, Yanfeng Wang, Siheng Chen

CoRR, 2024

Data Quality Control in Federated Instruction-tuning of Large Language Models.

Yaxin Du, Rui Ye, Yuchi Fengting, Wanru Zhao, Jingjing Qu, Yanfeng Wang, Siheng Chen

CoRR, 2024

Leveraging Unstructured Text Data for Federated Instruction Tuning of Large Language Models.

Rui Ye, Rui Ge, Yuchi Fengting, Jingyi Chai, Yanfeng Wang, Siheng Chen

CoRR, 2024

Physical Backdoor Attack can Jeopardize Driving with Vision-Large-Language Models.

Zhenyang Ni, Rui Ye, Yuxi Wei, Zhen Xiang, Yanfeng Wang, Siheng Chen

CoRR, 2024

Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning.

Shuo Tang, Rui Ye, Chenxin Xu, Xiaowen Dong, Siheng Chen, Yanfeng Wang

CoRR, 2024

FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units.

Shaoheng Fang, Rui Ye, Wenhao Wang, Zuhong Liu, Yuxiao Wang, Yafei Wang, Siheng Chen, Yanfeng Wang

CoRR, 2024

Learn What You Need in Personalized Federated Learning.

Kexin Lv, Rui Ye, Xiaolin Huang, Jie Yang, Siheng Chen

CoRR, 2024

FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models.

Rui Ye, Rui Ge, Xinyu Zhu, Jingyi Chai, Yaxin Du, Yang Liu, Yanfeng Wang, Siheng Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning.

Rui Ye, Wenhao Wang, Jingyi Chai, Dihan Li, Zexi Li, Yinda Xu, Yaxin Du, Yanfeng Wang, Siheng Chen

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation.

Xianghe Pang, Shuo Tang, Rui Ye, Yuxin Xiong, Bolun Zhang, Yanfeng Wang, Siheng Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Fake It Till Make It: Federated Learning with Consensus-Oriented Generation.

Rui Ye, Yaxin Du, Zhenyang Ni, Yanfeng Wang, Siheng Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server.

Wenhao Wang, Xiaoyu Liang, Rui Ye, Jingyi Chai, Siheng Chen, Yanfeng Wang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

On the Vulnerability of Safety Alignment in Open-Access LLMs.

Jingwei Yi, Rui Ye, Qisi Chen, Bin Zhu, Siheng Chen, Defu Lian, Guangzhong Sun, Xing Xie, Fangzhao Wu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

FedFM: Anchor-Based Feature Matching for Data Heterogeneity in Federated Learning.

Rui Ye, Zhenyang Ni, Chenxin Xu, Jianyu Wang, Siheng Chen, Yonina C. Eldar

IEEE Trans. Signal Process., 2023

Federated Learning Empowered by Generative Content.

Rui Ye, Xinyu Zhu, Jingyi Chai, Siheng Chen, Yanfeng Wang

CoRR, 2023

FedDisco: Federated Learning with Discrepancy-Aware Collaboration.

Rui Ye, Mingkai Xu, Jianyu Wang, Chenxin Xu, Siheng Chen, Yanfeng Wang

Proceedings of the International Conference on Machine Learning, 2023

Personalized Federated Learning with Inferred Collaboration Graphs.

Rui Ye, Zhenyang Ni, Fangzhao Wu, Siheng Chen, Yanfeng Wang

Proceedings of the International Conference on Machine Learning, 2023

2022

GPA-Net: No-Reference Point Cloud Quality Assessment with Multi-task Graph Convolutional Network.

Ziyu Shan, Qi Yang, Rui Ye, Yujie Zhang, Yiling Xu, Xiaozhong Xu, Shan Liu

CoRR, 2022