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HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalization


May 31, 2021
Jiaao Chen, Dinghan Shen, Weizhu Chen, Diyi Yang

* ACL 2021 

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What Makes Good In-Context Examples for GPT-$3$?


Jan 17, 2021
Jiachang Liu, Dinghan Shen, Yizhe Zhang, Bill Dolan, Lawrence Carin, Weizhu Chen


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MixKD: Towards Efficient Distillation of Large-scale Language Models


Nov 01, 2020
Kevin J Liang, Weituo Hao, Dinghan Shen, Yufan Zhou, Weizhu Chen, Changyou Chen, Lawrence Carin


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A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation


Oct 23, 2020
Dinghan Shen, Mingzhi Zheng, Yelong Shen, Yanru Qu, Weizhu Chen

* Source code is available at: https://github.com/dinghanshen/cutoff 

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CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding


Oct 16, 2020
Yanru Qu, Dinghan Shen, Yelong Shen, Sandra Sajeev, Jiawei Han, Weizhu Chen


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Improving Self-supervised Pre-training via a Fully-Explored Masked Language Model


Oct 14, 2020
Mingzhi Zheng, Dinghan Shen, Yelong Shen, Weizhu Chen, Lin Xiao


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Improving Text Generation with Student-Forcing Optimal Transport


Oct 12, 2020
Guoyin Wang, Chunyuan Li, Jianqiao Li, Hao Fu, Yuh-Chen Lin, Liqun Chen, Yizhe Zhang, Chenyang Tao, Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Qian Yang, Lawrence Carin

* To appear at EMNLP 2020 

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Generative Semantic Hashing Enhanced via Boltzmann Machines


Jun 16, 2020
Lin Zheng, Qinliang Su, Dinghan Shen, Changyou Chen


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