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Multitask Prompted Training Enables Zero-Shot Task Generalization


Oct 15, 2021
Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Teven Le Scao, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Fevry, Jason Alan Fries, Ryan Teehan, Stella Biderman, Leo Gao, Tali Bers, Thomas Wolf, Alexander M. Rush

* https://github.com/bigscience-workshop/promptsource/ 

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Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression


Sep 07, 2021
Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian McAuley, Furu Wei

* Accepted to EMNLP 2021 (main conference) 

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Datasets: A Community Library for Natural Language Processing


Sep 07, 2021
Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, Abhishek Thakur, Patrick von Platen, Suraj Patil, Julien Chaumond, Mariama Drame, Julien Plu, Lewis Tunstall, Joe Davison, Mario Šaško, Gunjan Chhablani, Bhavitvya Malik, Simon Brandeis, Teven Le Scao, Victor Sanh, Canwen Xu, Nicolas Patry, Angelina McMillan-Major, Philipp Schmid, Sylvain Gugger, Clément Delangue, Théo Matussière, Lysandre Debut, Stas Bekman, Pierric Cistac, Thibault Goehringer, Victor Mustar, François Lagunas, Alexander M. Rush, Thomas Wolf

* EMNLP Demo 2021 

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Meta Learning for Knowledge Distillation


Jun 08, 2021
Wangchunshu Zhou, Canwen Xu, Julian McAuley


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Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge


Apr 06, 2021
Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian McAuley, Furu Wei

* NAACL 2021 

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BERT Loses Patience: Fast and Robust Inference with Early Exit


Jun 29, 2020
Wangchunshu Zhou, Canwen Xu, Tao Ge, Julian McAuley, Ke Xu, Furu Wei

* 13 pages 

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MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization


May 23, 2020
Canwen Xu, Jiaxin Pei, Hongtao Wu, Yiyu Liu, Chenliang Li

* Accepted as a long paper at ACL 2020 

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BERT-of-Theseus: Compressing BERT by Progressive Module Replacing


Feb 10, 2020
Canwen Xu, Wangchunshu Zhou, Tao Ge, Furu Wei, Ming Zhou

* 11 pages; typo fixed 

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Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders


Nov 10, 2019
Yu Duan, Jiaxin Pei, Canwen Xu, Chenliang Li


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Exploiting Multiple Embeddings for Chinese Named Entity Recognition


Aug 28, 2019
Canwen Xu, Feiyang Wang, Jialong Han, Chenliang Li

* accepted at CIKM 2019 

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Obj-GloVe: Scene-Based Contextual Object Embedding


Jul 02, 2019
Canwen Xu, Zhenzhong Chen, Chenliang Li

* 14 pages; not the final version 

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DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets


Jan 24, 2019
Canwen Xu, Jing Li, Xiangyang Luo, Jiaxin Pei, Chenliang Li, Donghong Ji

* 7 pages, 4 figures, accepted by The Web Conf (WWW) 2019; minor footnote update 

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