Jingyi Chai

According to our database, Jingyi Chai authored at least 14 papers between 2023 and 2026.

Collaborative distances:

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

2026

Towards Self-Evolving Agentic Literature Retrieval.

Yuwen Du, Tian Jin, Jing Kang, Xianghe Pang, Jingyi Chai, Tingjia Miao, Fenyi Liu, Wenhao Wang, Sikai Yao, Yuzhi Zhang, Siheng Chen

CoRR, May, 2026

EvoMaster: A Foundational Evolving Agent Framework for Agentic Science at Scale.

Xinyu Zhu, Yuzhu Cai, Zexi Liu, Cheng Wang, Fengyang Li, Wenkai Jin, Wanxu Liu, Zehao Bing, Bingyang Zheng, Jingyi Chai, Shuo Tang, Rui Ye, Yuwen Du, Xianghe Pang, Yaxin Du, Tingjia Miao, Yuzhi Zhang, Ruoxue Liao, Zhaohan Ding, Linfeng Zhang, Yanfeng Wang, Weinan E, Siheng Chen

CoRR, April, 2026

2025

Bohrium + SciMaster: Building the Infrastructure and Ecosystem for Agentic Science at Scale.

Linfeng Zhang, Siheng Chen, Yuzhu Cai, Jingyi Chai, Junhan Chang, Kun Chen, Zhi X. Chen, Zhaohan Ding, Yuwen Du, Yuanpeng Gao, Yuan Gao, Jing Gao, Zhifeng Gao, Qiangqiang Gu, Yanhui Hong, Yuan Huang, Xi Fang, Xiaohong Ji, Guolin Ke, Zixing Lei, Xinyu Li, Yongge Li, Ruoxue Liao, Hang Lin, Xiaolu Lin, Yuxiang Liu, Xinzijian Liu, Zexi Liu, Jintan Lu, Tingjia Miao, Haohui Que, Weijie Sun, Yanfeng Wang, Bingyang Wu, Tianju Xue, Rui Ye, Jinzhe Zeng, Duo Zhang, Jiahui Zhang, Linfeng Zhang, Tianhan Zhang, Wenchang Zhang, Yuzhi Zhang, Zezhong Zhang, Hang Zheng, Hui Zhou, Tong Zhu, Xinyu Zhu, Qingguo Zhou, Weinan E

CoRR, December, 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

Incentivizing Inclusive Contributions in Model Sharing Markets.

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

CoRR, May, 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

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

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

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 37: 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

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

2023

Federated Learning Empowered by Generative Content.

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

CoRR, 2023

USR: Unsupervised Separated 3D Garment and Human Reconstruction via Geometry and Semantic Consistency.

Yue Shi, Yuxuan Xiong, Jingyi Chai, Bingbing Ni, Wenjun Zhang

CoRR, 2023