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2020 – today
- 2023
[c13]Sebastian Hofstätter
, Jiecao Chen, Karthik Raman, Hamed Zamani:
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation. SIGIR 2023: 1437-1447- 2022
- [c12]Karthik Raman, Iftekhar Naim, Jiecao Chen, Kazuma Hashimoto, Kiran Yalasangi, Krishna Srinivasan:
Transforming Sequence Tagging Into A Seq2Seq Task. EMNLP 2022: 11856-11874 - [i18]Karthik Raman, Iftekhar Naim, Jiecao Chen, Kazuma Hashimoto, Kiran Yalasangi, Krishna Srinivasan:
Transforming Sequence Tagging Into A Seq2Seq Task. CoRR abs/2203.08378 (2022) - [i17]Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani:
Multi-Task Retrieval-Augmented Text Generation with Relevance Sampling. CoRR abs/2207.03030 (2022) - [i16]Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani:
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation. CoRR abs/2209.14290 (2022) - 2021
- [c11]Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, Marc Najork:
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning. SIGIR 2021: 2443-2449 - [i15]Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, Marc Najork:
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning. CoRR abs/2103.01913 (2021) - 2020
- [c10]Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh:
DiPair: Fast and Accurate Distillation for Trillion-ScaleText Matching and Pair Modeling. EMNLP (Findings) 2020: 2925-2937 - [i14]Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh:
DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling. CoRR abs/2010.03099 (2020) - [i13]Aditi Chaudhary, Karthik Raman, Krishna Srinivasan, Jiecao Chen:
DICT-MLM: Improved Multilingual Pre-Training using Bilingual Dictionaries. CoRR abs/2010.12566 (2020)
2010 – 2019
- 2019
- [c9]Sashank J. Reddi, Satyen Kale, Felix X. Yu, Daniel Niels Holtmann-Rice, Jiecao Chen, Sanjiv Kumar:
Stochastic Negative Mining for Learning with Large Output Spaces. AISTATS 2019: 1940-1949 - [c8]Ankit Singh Rawat, Jiecao Chen, Felix X. Yu, Ananda Theertha Suresh, Sanjiv Kumar:
Sampled Softmax with Random Fourier Features. NeurIPS 2019: 13834-13844 - [i12]Ankit Singh Rawat, Jiecao Chen, Felix X. Yu, Ananda Theertha Suresh, Sanjiv Kumar:
Sampled Softmax with Random Fourier Features. CoRR abs/1907.10747 (2019) - 2018
- [c7]Jiecao Chen, Erfan Sadeqi Azer, Qin Zhang:
A Practical Algorithm for Distributed Clustering and Outlier Detection. NeurIPS 2018: 2253-2262 - [c6]Jiecao Chen, Qin Zhang, Yuan Zhou:
Tight Bounds for Collaborative PAC Learning via Multiplicative Weights. NeurIPS 2018: 3602-3611 - [c5]Jiecao Chen, Qin Zhang:
Distinct Sampling on Streaming Data with Near-Duplicates. PODS 2018: 369-382 - [i11]Jiecao Chen, Qin Zhang, Yuan Zhou:
Tight Bounds for Collaborative PAC Learning via Multiplicative Weights. CoRR abs/1805.09217 (2018) - [i10]Jiecao Chen, Erfan Sadeqi Azer, Qin Zhang:
A Practical Algorithm for Distributed Clustering and Outlier Detection. CoRR abs/1805.09495 (2018) - [i9]Sashank J. Reddi, Satyen Kale, Felix X. Yu, Daniel N. Holtmann-Rice, Jiecao Chen, Sanjiv Kumar:
Stochastic Negative Mining for Learning with Large Output Spaces. CoRR abs/1810.07076 (2018) - [i8]Jiecao Chen, Qin Zhang:
Distinct Sampling on Streaming Data with Near-Duplicates. CoRR abs/1810.12388 (2018) - 2017
- [j2]Jiecao Chen, Qin Zhang:
Improved Algorithms for Distributed Entropy Monitoring. Algorithmica 78(3): 1041-1066 (2017) - [j1]Jiecao Chen, Qin Zhang:
Bias-Aware Sketches. Proc. VLDB Endow. 10(9): 961-972 (2017) - [c4]Jiecao Chen, Xi Chen, Qin Zhang, Yuan Zhou:
Adaptive Multiple-Arm Identification. ICML 2017: 722-730 - [c3]Matthew Schlegel, Yangchen Pan, Jiecao Chen, Martha White:
Adapting Kernel Representations Online Using Submodular Maximization. ICML 2017: 3037-3046 - [i7]Jiecao Chen, He Sun, David P. Woodruff, Qin Zhang:
Communication-Optimal Distributed Clustering. CoRR abs/1702.00196 (2017) - [i6]Jiecao Chen, Xi Chen, Qin Zhang, Yuan Zhou:
Adaptive Multiple-Arm Identification. CoRR abs/1706.01026 (2017) - 2016
- [c2]Alexandr Andoni, Jiecao Chen, Robert Krauthgamer, Bo Qin, David P. Woodruff, Qin Zhang:
On Sketching Quadratic Forms. ITCS 2016: 311-319 - [c1]Jiecao Chen, He Sun, David P. Woodruff, Qin Zhang:
Communication-Optimal Distributed Clustering. NIPS 2016: 3720-3728 - [i5]Jiecao Chen, Qin Zhang:
Bias-Aware Sketches. CoRR abs/1610.07718 (2016) - [i4]Jiecao Chen, Huy L. Nguyen, Qin Zhang:
Submodular Maximization over Sliding Windows. CoRR abs/1611.00129 (2016) - 2015
- [i3]Alexandr Andoni, Jiecao Chen, Robert Krauthgamer, Bo Qin, David P. Woodruff, Qin Zhang:
On Sketching Quadratic Forms. CoRR abs/1511.06099 (2015) - 2014
- [i2]Jiecao Chen, Qin Zhang:
AMS-Sampling in Distributed Monitoring, with Applications to Entropy. CoRR abs/1409.4843 (2014) - [i1]Jiecao Chen, Bo Qin, David P. Woodruff, Qin Zhang:
A Sketching Algorithm for Spectral Graph Sparsification. CoRR abs/1412.8225 (2014)
Coauthor Index
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