Jiecao Chen - RankMe

48 papers A* 9A 2Journal 33Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training. CoRR Siyu Yuan, Zehui Chen, Zhiheng Xi, Junjie Ye, Zhengyin Du, Jiecao Chen
2025	J	`jnl`	AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning. CoRR Zhiheng Xi, Jixuan Huang, Chenyang Liao, Baodai Huang, Honglin Guo, Jiaqi Liu, 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
2025	J	`jnl`	Critique-RL: Training Language Models for Critiquing through Two-Stage Reinforcement Learning. CoRR 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
2025	J	`jnl`	Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments. CoRR Junjie Ye, Changhao Jiang, Zhengyin Du, Yufei Xu, Xuesong Yao, Zhiheng Xi, Xiaoran Fan, Qi Zhang, Xuanjing Huang, Jiecao Chen
2025	J	`jnl`	FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction. CoRR Zhiyuan Zeng, Jiashuo Liu, Siyuan Chen, Tianci He, Yali Liao, Jinpeng Wang, Zaiyuan Wang, Yang Yang, Lingyue Yin, Mingren Yin, Zhenwei Zhu, Tianle Cai, Zehui Chen, Jiecao Chen, Yantao Du, Xiang Gao, Jiacheng Guo, Liang Hu, Jianpeng Jiao, Xiangsheng Li, Jingkai Liu, Shuang Ni, Zhoufutu Wen, Ge Zhang, Kaiyuan Zhang, Xin Zhou, Jose H. Blanchet, Xipeng Qiu, Mengdi Wang, Wenhao Huang
2025	J	`jnl`	Generalizable End-to-End Tool-Use RL with Synthetic CodeGym. CoRR Weihua Du, Hailei Gong, Zhan Ling, Kang Liu, Lingfeng Shen, Xuesong Yao, Yufei Xu, Dingyuan Shi, Yiming Yang, Jiecao Chen
2025	J	`jnl`	LongReason: A Synthetic Long-Context Reasoning Benchmark via Context Expansion. CoRR Zhan Ling, Kang Liu, Kai Yan, Yifan Yang, Weijian Lin, Ting-Han Fan, Lingfeng Shen, Zhengyin Du, Jiecao Chen
2025	J	`jnl`	MIR-Bench: Benchmarking LLM's Long-Context Intelligence via Many-Shot In-Context Inductive Reasoning. CoRR Kai Yan, Zhan Ling, Kang Liu, Yifan Yang, Ting-Han Fan, Lingfeng Shen, Zhengyin Du, Jiecao Chen
2025	J	`jnl`	Natural Language Actor-Critic: Scalable Off-Policy Learning in Language Space. CoRR Joey Hong, Kang Liu, Zhan Ling, Jiecao Chen, Sergey Levine
2025	—	`conf`	Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems? IJCNLP-AACL (long papers) Kai Yan, Yufei Xu, Zhengyin Du, Xuesong Yao, Zheyu Wang, Xiaowen Guo, Jiecao Chen
2025	J	`jnl`	Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems? CoRR Kai Yan, Yufei Xu, Zhengyin Du, Xuesong Yao, Zheyu Wang, Xiaowen Guo, Jiecao Chen
2025	J	`jnl`	Scaling LLM Multi-turn RL with End-to-end Summarization-based Context Management. CoRR Miao Lu, Weiwei Sun, Weihua Du, Zhan Ling, Xuesong Yao, Kang Liu, Jiecao Chen
2025	J	`jnl`	Scaling Long-Horizon LLM Agent via Context-Folding. CoRR Weiwei Sun, Miao Lu, Zhan Ling, Kang Liu, Xuesong Yao, Yiming Yang, Jiecao Chen
2025	—	`conf`	ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use. ACL (1) Junjie Ye, Zhengyin Du, Xuesong Yao, Weijian Lin, Yufei Xu, Zehui Chen, Zaiyuan Wang, Sining Zhu, Zhiheng Xi, Siyu Yuan, Tao Gui, Qi Zhang, Xuanjing Huang, Jiecao Chen
2025	J	`jnl`	ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use. CoRR Junjie Ye, Zhengyin Du, Xuesong Yao, Weijian Lin, Yufei Xu, Zehui Chen, Zaiyuan Wang, Sining Zhu, Zhiheng Xi, Siyu Yuan, Tao Gui, Qi Zhang, Xuanjing Huang, Jiecao Chen
2023	A*	`conf`	FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation. SIGIR Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani
2022	J	`jnl`	FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation. CoRR Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani
2022	J	`jnl`	Multi-Task Retrieval-Augmented Text Generation with Relevance Sampling. CoRR Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani
2022	A*	`conf`	Transforming Sequence Tagging Into A Seq2Seq Task. EMNLP Karthik Raman, Iftekhar Naim, Jiecao Chen, Kazuma Hashimoto, Kiran Yalasangi, Krishna Srinivasan
2022	J	`jnl`	Transforming Sequence Tagging Into A Seq2Seq Task. CoRR Karthik Raman, Iftekhar Naim, Jiecao Chen, Kazuma Hashimoto, Kiran Yalasangi, Krishna Srinivasan
2021	A*	`conf`	WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning. SIGIR Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, Marc Najork
2021	J	`jnl`	WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning. CoRR Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, Marc Najork
2020	J	`jnl`	DICT-MLM: Improved Multilingual Pre-Training using Bilingual Dictionaries. CoRR Aditi Chaudhary, Karthik Raman, Krishna Srinivasan, Jiecao Chen
2020	J	`jnl`	DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling. CoRR Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh
2020	—	`conf`	DiPair: Fast and Accurate Distillation for Trillion-ScaleText Matching and Pair Modeling. EMNLP (Findings) Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh
2019	A*	`conf`	Sampled Softmax with Random Fourier Features. NeurIPS Ankit Singh Rawat, Jiecao Chen, Felix X. Yu, Ananda Theertha Suresh, Sanjiv Kumar
2019	J	`jnl`	Sampled Softmax with Random Fourier Features. CoRR Ankit Singh Rawat, Jiecao Chen, Felix X. Yu, Ananda Theertha Suresh, Sanjiv Kumar
2019	A	`conf`	Stochastic Negative Mining for Learning with Large Output Spaces. AISTATS Sashank J. Reddi, Satyen Kale, Felix X. Yu, Daniel Niels Holtmann-Rice, Jiecao Chen, Sanjiv Kumar
2018	A*	`conf`	A Practical Algorithm for Distributed Clustering and Outlier Detection. NeurIPS Jiecao Chen, Erfan Sadeqi Azer, Qin Zhang
2018	J	`jnl`	A Practical Algorithm for Distributed Clustering and Outlier Detection. CoRR Jiecao Chen, Erfan Sadeqi Azer, Qin Zhang
2018	A*	`conf`	Distinct Sampling on Streaming Data with Near-Duplicates. PODS Jiecao Chen, Qin Zhang
2018	J	`jnl`	Distinct Sampling on Streaming Data with Near-Duplicates. CoRR Jiecao Chen, Qin Zhang
2018	J	`jnl`	Stochastic Negative Mining for Learning with Large Output Spaces. CoRR Sashank J. Reddi, Satyen Kale, Felix X. Yu, Daniel N. Holtmann-Rice, Jiecao Chen, Sanjiv Kumar
2018	A*	`conf`	Tight Bounds for Collaborative PAC Learning via Multiplicative Weights. NeurIPS Jiecao Chen, Qin Zhang, Yuan Zhou
2018	J	`jnl`	Tight Bounds for Collaborative PAC Learning via Multiplicative Weights. CoRR Jiecao Chen, Qin Zhang, Yuan Zhou
2017	A*	`conf`	Adapting Kernel Representations Online Using Submodular Maximization. ICML Matthew Schlegel, Yangchen Pan, Jiecao Chen, Martha White
2017	A*	`conf`	Adaptive Multiple-Arm Identification. ICML Jiecao Chen, Xi Chen, Qin Zhang, Yuan Zhou
2017	J	`jnl`	Adaptive Multiple-Arm Identification. CoRR Jiecao Chen, Xi Chen, Qin Zhang, Yuan Zhou
2017	J	`jnl`	Bias-Aware Sketches. Proc. VLDB Endow. Jiecao Chen, Qin Zhang
2017	J	`jnl`	Communication-Optimal Distributed Clustering. CoRR Jiecao Chen, He Sun, David P. Woodruff, Qin Zhang
2017	J	`jnl`	Improved Algorithms for Distributed Entropy Monitoring. Algorithmica Jiecao Chen, Qin Zhang
2016	J	`jnl`	Bias-Aware Sketches. CoRR Jiecao Chen, Qin Zhang
2016	—	`conf`	Communication-Optimal Distributed Clustering. NIPS Jiecao Chen, He Sun, David P. Woodruff, Qin Zhang
2016	A	`conf`	On Sketching Quadratic Forms. ITCS Alexandr Andoni, Jiecao Chen, Robert Krauthgamer, Bo Qin, David P. Woodruff, Qin Zhang
2016	J	`jnl`	Submodular Maximization over Sliding Windows. CoRR Jiecao Chen, Huy L. Nguyen, Qin Zhang
2015	J	`jnl`	On Sketching Quadratic Forms. CoRR Alexandr Andoni, Jiecao Chen, Robert Krauthgamer, Bo Qin, David P. Woodruff, Qin Zhang
2014	J	`jnl`	A Sketching Algorithm for Spectral Graph Sparsification. CoRR Jiecao Chen, Bo Qin, David P. Woodruff, Qin Zhang
2014	J	`jnl`	AMS-Sampling in Distributed Monitoring, with Applications to Entropy. CoRR Jiecao Chen, Qin Zhang