Xuchen Pan

According to our database, Xuchen Pan authored at least 23 papers between 2022 and 2026.

Collaborative distances:

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

2026

R³L: Reflect-then-Retry Reinforcement Learning with Language-Guided Exploration, Pivotal Credit, and Positive Amplification.

Weijie Shi, Yanxi Chen, Zexi Li, Xuchen Pan, Yuchang Sun, Jiajie Xu, Xiaofang Zhou, Yaliang Li

CoRR, January, 2026

2025

Leveraging LLM-based agents for social science research: insights from citation network simulations.

Jiarui Ji, Runlin Lei, Xuchen Pan, Zhewei Wei, Hao Sun, Yankai Lin, Xu Chen, Yongzheng Yang, Yaliang Li, Bolin Ding, Ji-Rong Wen

CoRR, November, 2025

Grounded in Reality: Learning and Deploying Proactive LLM from Offline Logs.

Fei Wei, Daoyuan Chen, Ce Wang, Yilun Huang, Yushuo Chen, Xuchen Pan, Yaliang Li, Bolin Ding

CoRR, October, 2025

Group-Relative REINFORCE Is Secretly an Off-Policy Algorithm: Demystifying Some Myths About GRPO and Its Friends.

Chaorui Yao, Yanxi Chen, Yuchang Sun, Yushuo Chen, Wenhao Zhang, Xuchen Pan, Yaliang Li, Bolin Ding

CoRR, September, 2025

Trinity-RFT: A General-Purpose and Unified Framework for Reinforcement Fine-Tuning of Large Language Models.

Xuchen Pan, Yanxi Chen, Yushuo Chen, Yuchang Sun, Daoyuan Chen, Wenhao Zhang, Yuexiang Xie, Yilun Huang, Yilei Zhang, Dawei Gao, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, May, 2025

Hu-Fu: efficient and secure spatial queries over data federation.

Yongxin Tong, Yuxiang Zeng, Yang Song, Xuchen Pan, Zeheng Fan, Chunbo Xue, Zimu Zhou, Xiaofei Zhang, Lei Chen, Yi Xu, Ke Xu, Weifeng Lv

VLDB J., March, 2025

Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for Foundation Models.

Daoyuan Chen, Yilun Huang, Xuchen Pan, Nana Jiang, Haibin Wang, Ce Ge, Yushuo Chen, Wenhao Zhang, Zhijian Ma, Yilei Zhang, Jun Huang, Wei Lin, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, January, 2025

Provable Scaling Laws for the Test-Time Compute of Large Language Models.

Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou

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

Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for and with Foundation Models.

Daoyuan Chen, Yilun Huang, Xuchen Pan, Nana Jiang, Haibin Wang, Yilei Zhang, Ce Ge, Yushuo Chen, Wenhao Zhang, Zhijian Ma, Jun Huang, Wei Lin, Yaliang Li, Bolin Ding, Jingren Zhou

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

GenSim: A General Social Simulation Platform with Large Language Model based Agents.

Jiakai Tang, Heyang Gao, Xuchen Pan, Lei Wang, Haoran Tan, Dawei Gao, Yushuo Chen, Xu Chen, Yankai Lin, Yaliang Li, Bolin Ding, Jingren Zhou, Jun Wang, Ji-Rong Wen

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

LLM-Based Multi-Agent Systems are Scalable Graph Generative Models.

Jiarui Ji, Runlin Lei, Jialing Bi, Zhewei Wei, Xu Chen, Yankai Lin, Xuchen Pan, Yaliang Li, Bolin Ding

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

2024

A Simple and Provable Scaling Law for the Test-Time Compute of Large Language Models.

Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, 2024

Dynamic and Textual Graph Generation Via Large-Scale LLM-based Agent Simulation.

Jiarui Ji, Runlin Lei, Jialing Bi, Zhewei Wei, Yankai Lin, Xuchen Pan, Yaliang Li, Bolin Ding

CoRR, 2024

Very Large-Scale Multi-Agent Simulation in AgentScope.

Xuchen Pan, Dawei Gao, Yuexiang Xie, Zhewei Wei, Yaliang Li, Bolin Ding, Ji-Rong Wen, Jingren Zhou

CoRR, 2024

AgentScope: A Flexible yet Robust Multi-Agent Platform.

Dawei Gao, Zitao Li, Weirui Kuang, Xuchen Pan, Daoyuan Chen, Zhijian Ma, Bingchen Qian, Liuyi Yao, Lin Zhu, Chen Cheng, Hongzhu Shi, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, 2024

EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models.

Xuchen Pan, Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, 2024

Data-Juicer: A One-Stop Data Processing System for Large Language Models.

Daoyuan Chen, Yilun Huang, Zhijian Ma, Hesen Chen, Xuchen Pan, Ce Ge, Dawei Gao, Yuexiang Xie, Zhaoyang Liu, Jinyang Gao, Yaliang Li, Bolin Ding, Jingren Zhou

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning.

Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou

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

EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism.

Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou

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

2023

FS-Real: A Real-World Cross-Device Federated Learning Platform.

Dawei Gao, Daoyuan Chen, Zitao Li, Yuexiang Xie, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou

Proc. VLDB Endow., 2023

FS-REAL: Towards Real-World Cross-Device Federated Learning.

Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Hu-Fu: Efficient and Secure Spatial Queries over Data Federation.

Yongxin Tong, Xuchen Pan, Yuxiang Zeng, Yexuan Shi, Chunbo Xue, Zimu Zhou, Xiaofei Zhang, Lei Chen, Yi Xu, Ke Xu, Weifeng Lv

Proc. VLDB Endow., 2022

Hu-Fu: A Data Federation System for Secure Spatial Queries.

Xuchen Pan, Yongxin Tong, Chunbo Xue, Zimu Zhou, Junping Du, Yuxiang Zeng, Yexuan Shi, Xiaofei Zhang, Lei Chen, Yi Xu, Ke Xu, Weifeng Lv

Proc. VLDB Endow., 2022