Chen, Jiecao

14 publications

ICLR 2026 AgentGym-RL: An Open-Source Framework to Train LLM Agents for Long-Horizon Decision Making via Multi-Turn RL Zhiheng Xi, Jixuan Huang, Chenyang Liao, Baodai Huang, Jiaqi Liu, Honglin Guo, Yajie Yang, Rui Zheng, Junjie Ye, Jiazheng Zhang, Wenxiang Chen, Wei He, Yiwen Ding, Guanyu Li, Zehui Chen, Zhengyin Du, Xuesong Yao, Yufei Xu, Jiecao Chen, Tao Gui, Zuxuan Wu, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang

ICLR 2026 Critique-RL: Training Language Models for Critiquing Through Two-Stage Reinforcement Learning Zhiheng Xi, Jixuan Huang, Xin Guo, Boyang Hong, Dingwen Yang, Xiaoran Fan, Shuo Li, Zehui Chen, Junjie Ye, Siyu Yuan, Zhengyin Du, Xuesong Yao, Yufei Xu, Jiecao Chen, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang

ICLR 2026 FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction Zhiyuan Zeng, Jiashuo Liu, Siyuan Chen, Tianci He, Yali Liao, Yixiao Tian, Wangjinpeng.Levi, Zaiyuan Wang, YangYang, Lingyue Yin, Mingren Yin, Zhu Zhenwei, Tianle Cai, Xinjie Chen, Zehui Chen, Jiecao Chen, Yantao Du, Xiang Gao, Jiacheng Guo, Liang Hu, Jianpeng Jiao, Xiangsheng Li, Jingkai Liu, Nishuang, Zhoufutu Wen, Ge Zhang, Kaiyuan Zhang, 周欣, Jose Blanchet, Xipeng Qiu, Mengdi Wang, Wenhao Huang

ICLR 2026 Generalizable End-to-End Tool-Use RL with Synthetic CodeGym Weihua Du, Hailei Gong, Zhan Ling, Kang Liu, Lingfeng Shen, Xuesong Yao, Yufei Xu, Dingyuan Shi, Yiming Yang, Jiecao Chen

ICLRW 2025 MIR-Bench: Benchmarking LLM's Long-Context Intelligence via Many-Shot In-Context Inductive Reasoning Kai Yan, Zhan Ling, Kang Liu, Yifan Yang, Ting-Han Fan, Lingfeng Shen, Zhengyin Du, Jiecao Chen

NeurIPS 2025 MIR-Bench: Can Your LLM Recognize Complicated Patterns via Many-Shot In-Context Reasoning? Kai Yan, Zhan Ling, Kang Liu, Yifan Yang, Ting-Han Fan, Lingfeng Shen, Zhengyin Du, Jiecao Chen

ICMLW 2022 Multi-Task Retrieval-Augmented Text Generation with Relevance Sampling Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani

NeurIPS 2019 Sampled SoftMax with Random Fourier Features Ankit Singh Rawat, Jiecao Chen, Felix Xinnan X Yu, Ananda Theertha Suresh, Sanjiv Kumar

AISTATS 2019 Stochastic Negative Mining for Learning with Large Output Spaces Sashank J. Reddi, Satyen Kale, Felix Yu, Daniel Holtmann-Rice, Jiecao Chen, Sanjiv Kumar

NeurIPS 2018 A Practical Algorithm for Distributed Clustering and Outlier Detection Jiecao Chen, Erfan Sadeqi Azer, Qin Zhang

NeurIPS 2018 Tight Bounds for Collaborative PAC Learning via Multiplicative Weights Jiecao Chen, Qin Zhang, Yuan Zhou

ICML 2017 Adapting Kernel Representations Online Using Submodular Maximization Matthew Schlegel, Yangchen Pan, Jiecao Chen, Martha White

ICML 2017 Adaptive Multiple-Arm Identification Jiecao Chen, Xi Chen, Qin Zhang, Yuan Zhou

NeurIPS 2016 Communication-Optimal Distributed Clustering Jiecao Chen, He Sun, David Woodruff, Qin Zhang