A Sketching Algorithm for Spectral Graph Sparsification. - Jiecao Chen; Bo Qin; David P. Woodruff; Qin Zhang 001 (CoRR, 2014)

AMS-Sampling in Distributed Monitoring, with Applications to Entropy. - Jiecao Chen; Qin Zhang 001 (CoRR, 2014)

On Sketching Quadratic Forms. - Alexandr Andoni; Jiecao Chen; Robert Krauthgamer; Bo Qin; David P. Woodruff; Qin Zhang 001 (ITCS, 2016)

Communication-Optimal Distributed Clustering. - Jiecao Chen; He Sun 001; David P. Woodruff; Qin Zhang 001 (NIPS, 2016)

Submodular Maximization over Sliding Windows. - Jiecao Chen; Huy L. Nguyen; Qin Zhang 001 (CoRR, 2016)

Adaptive Multiple-Arm Identification. - Jiecao Chen; Xi Chen 010; Qin Zhang 001; Yuan Zhou 007 (ICML, 2017)

Adapting Kernel Representations Online Using Submodular Maximization. - Matthew Schlegel; Yangchen Pan; Jiecao Chen; Martha White (ICML, 2017)

Improved Algorithms for Distributed Entropy Monitoring. - Jiecao Chen; Qin Zhang 001 (Algorithmica, 2017)

Bias-Aware Sketches. - Jiecao Chen; Qin Zhang 001 (Proc. VLDB Endow., 2017)

Tight Bounds for Collaborative PAC Learning via Multiplicative Weights. - Jiecao Chen; Qin Zhang 001; Yuan Zhou 007 (NeurIPS, 2018)

A Practical Algorithm for Distributed Clustering and Outlier Detection. - Jiecao Chen; Erfan Sadeqi Azer; Qin Zhang 001 (NeurIPS, 2018)

Distinct Sampling on Streaming Data with Near-Duplicates. - Jiecao Chen; Qin Zhang 001 (PODS, 2018)

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

Sampled Softmax with Random Fourier Features. - Ankit Singh Rawat; Jiecao Chen; Felix X. Yu; Ananda Theertha Suresh; Sanjiv Kumar (NeurIPS, 2019)

DiPair: Fast and Accurate Distillation for Trillion-ScaleText Matching and Pair Modeling. - Jiecao Chen; Liu Yang 005; Karthik Raman 001; Michael Bendersky; Jung-Jung Yeh; Yun Zhou; Marc Najork; Danyang Cai; Ehsan Emadzadeh (EMNLP (Findings), 2020)

DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling. - Jiecao Chen; Liu Yang 005; Karthik Raman 001; Michael Bendersky; Jung-Jung Yeh; Yun Zhou; Marc Najork; Danyang Cai; Ehsan Emadzadeh (CoRR, 2020)

DICT-MLM: Improved Multilingual Pre-Training using Bilingual Dictionaries. - Aditi Chaudhary; Karthik Raman 001; Krishna Srinivasan; Jiecao Chen (CoRR, 2020)

WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning. - Krishna Srinivasan; Karthik Raman 001; Jiecao Chen; Michael Bendersky; Marc Najork (SIGIR, 2021)

Transforming Sequence Tagging Into A Seq2Seq Task. - Karthik Raman 001; Iftekhar Naim; Jiecao Chen; Kazuma Hashimoto; Kiran Yalasangi; Krishna Srinivasan (EMNLP, 2022)

Multi-Task Retrieval-Augmented Text Generation with Relevance Sampling. - Sebastian Hofstätter; Jiecao Chen; Karthik Raman 001; Hamed Zamani (CoRR, 2022)

FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation. - Sebastian Hofstätter; Jiecao Chen; Karthik Raman 001; Hamed Zamani (SIGIR, 2023)

ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use. - Junjie Ye; Zhengyin Du; Xuesong Yao; Weijian Lin; Yufei Xu; Zehui Chen; Zaiyuan Wang; Sining Zhu; Zhiheng Xi; Siyu Yuan; Tao Gui; Qi Zhang 001; et al. (ACL (1), 2025)

Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training. - Siyu Yuan; Zehui Chen; Zhiheng Xi; Junjie Ye; Zhengyin Du; Jiecao Chen (CoRR, 2025)

LongReason: A Synthetic Long-Context Reasoning Benchmark via Context Expansion. - Zhan Ling; Kang Liu; Kai Yan; Yifan Yang; Weijian Lin; Ting-Han Fan; Lingfeng Shen; Zhengyin Du; Jiecao Chen (CoRR, 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 (CoRR, 2025)

Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems? - Kai Yan; Yufei Xu; Zhengyin Du; Xuesong Yao; Zheyu Wang; Xiaowen Guo; Jiecao Chen (CoRR, 2025)

Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning. - Jiaze Chen; Tiantian Fan; Xin Liu; Lingjun Liu; Zhiqi Lin; Mingxuan Wang; Chengyi Wang; Xiangpeng Wei; Wenyuan Xu; Yufeng Yuan; Yu Yue; Lin Yan; et al. (CoRR, 2025)

Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments. - Junjie Ye; Changhao Jiang; Zhengyin Du; Yufei Xu; Xuesong Yao; Zhiheng Xi; Xiaoran Fan; Qi Zhang 001; Xuanjing Huang 001; Jiecao Chen (CoRR, 2025)

FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction. - Zhiyuan Zeng 004; Jiashuo Liu; Siyuan Chen; Tianci He; Yali Liao; Jinpeng Wang; Zaiyuan Wang; Yang Yang; Lingyue Yin; Mingren Yin; Zhenwei Zhu; Tianle Cai; et al. (CoRR, 2025)