Jiecao Chen

According to our database, Jiecao Chen authored at least 21 papers between 2014 and 2023.

Collaborative distances:

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

2023

FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation.

Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022

Multi-Task Retrieval-Augmented Text Generation with Relevance Sampling.

Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani

CoRR, 2022

Transforming Sequence Tagging Into A Seq2Seq Task.

Karthik Raman, Iftekhar Naim, Jiecao Chen, Kazuma Hashimoto, Kiran Yalasangi, Krishna Srinivasan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning.

Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, Marc Najork

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020

DICT-MLM: Improved Multilingual Pre-Training using Bilingual Dictionaries.

Aditi Chaudhary, Karthik Raman, Krishna Srinivasan, Jiecao Chen

CoRR, 2020

DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling.

Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh

CoRR, 2020

DiPair: Fast and Accurate Distillation for Trillion-ScaleText Matching and Pair Modeling.

Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Sampled Softmax with Random Fourier Features.

Ankit Singh Rawat, Jiecao Chen, Felix X. Yu, Ananda Theertha Suresh, Sanjiv Kumar

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

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

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Distinct Sampling on Streaming Data with Near-Duplicates.

Jiecao Chen, Qin Zhang

Proceedings of the 37th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, 2018

A Practical Algorithm for Distributed Clustering and Outlier Detection.

Jiecao Chen, Erfan Sadeqi Azer, Qin Zhang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Tight Bounds for Collaborative PAC Learning via Multiplicative Weights.

Jiecao Chen, Qin Zhang, Yuan Zhou

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Bias-Aware Sketches.

Jiecao Chen, Qin Zhang

Proc. VLDB Endow., 2017

Improved Algorithms for Distributed Entropy Monitoring.

Jiecao Chen, Qin Zhang

Algorithmica, 2017

Adapting Kernel Representations Online Using Submodular Maximization.

Matthew Schlegel, Yangchen Pan, Jiecao Chen, Martha White

Proceedings of the 34th International Conference on Machine Learning, 2017

Adaptive Multiple-Arm Identification.

Jiecao Chen, Xi Chen, Qin Zhang, Yuan Zhou

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Submodular Maximization over Sliding Windows.

Jiecao Chen, Huy L. Nguyen, Qin Zhang

CoRR, 2016

Communication-Optimal Distributed Clustering.

Jiecao Chen, He Sun, David P. Woodruff, Qin Zhang

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

On Sketching Quadratic Forms.

Alexandr Andoni, Jiecao Chen, Robert Krauthgamer, Bo Qin, David P. Woodruff, Qin Zhang

Proceedings of the 2016 ACM Conference on Innovations in Theoretical Computer Science, 2016

2014

AMS-Sampling in Distributed Monitoring, with Applications to Entropy.

Jiecao Chen, Qin Zhang

CoRR, 2014

A Sketching Algorithm for Spectral Graph Sparsification.

Jiecao Chen, Bo Qin, David P. Woodruff, Qin Zhang

CoRR, 2014