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On the Influence of Masking Policies in Intermediate Pre-training


Apr 18, 2021
Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa


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CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP


Apr 18, 2021
Qinyuan Ye, Bill Yuchen Lin, Xiang Ren


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Refining Neural Networks with Compositional Explanations


Mar 18, 2021
Huihan Yao, Ying Chen, Qinyuan Ye, Xisen Jin, Xiang Ren


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Zero-shot Learning by Generating Task-specific Adapters


Jan 02, 2021
Qinyuan Ye, Xiang Ren


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Studying Strategically: Learning to Mask for Closed-book QA


Jan 01, 2021
Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa


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Teaching Machine Comprehension with Compositional Explanations


May 02, 2020
Qinyuan Ye, Xiao Huang, Xiang Ren


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LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation


Apr 16, 2020
Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Jamin Chen, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren

* Accepted to the ACL 2020 (demo). The first two authors contributed equally. Project page: http://inklab.usc.edu/leanlife/ 

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Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations


Nov 07, 2019
Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren

* 16 pages, 7 figures, 13 tables 

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Learning to Annotate: Modularizing Data Augmentation for TextClassifiers with Natural Language Explanations


Nov 04, 2019
Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren

* 16 pages, 7 figures, 13 tables 

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Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction


Apr 19, 2019
Maosen Zhang, Qinyuan Ye, Liyuan Liu, Xiang Ren

* 9 pages, plus references and appendix 

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