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2002.07972
Cited By
The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding
19 February 2020
Xiaodong Liu
Yu-Chiang Frank Wang
Jianshu Ji
Hao Cheng
Xueyun Zhu
E. Awa
Pengcheng He
Weizhu Chen
Hoifung Poon
Guihong Cao
Jianfeng Gao
AI4CE
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Papers citing
"The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding"
6 / 6 papers shown
Title
SemEval-2023 Task 10: Explainable Detection of Online Sexism
Hannah Rose Kirk
Wenjie Yin
Bertie Vidgen
Paul Röttger
10
117
0
07 Mar 2023
Efficient Long Sequence Modeling via State Space Augmented Transformer
Simiao Zuo
Xiaodong Liu
Jian Jiao
Denis Xavier Charles
Eren Manavoglu
Tuo Zhao
Jianfeng Gao
117
36
0
15 Dec 2022
METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals
Payal Bajaj
Chenyan Xiong
Guolin Ke
Xiaodong Liu
Di He
Saurabh Tiwary
Tie-Yan Liu
Paul N. Bennett
Xia Song
Jianfeng Gao
42
32
0
13 Apr 2022
Revisiting Few-sample BERT Fine-tuning
Tianyi Zhang
Felix Wu
Arzoo Katiyar
Kilian Q. Weinberger
Yoav Artzi
21
438
0
10 Jun 2020
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu
Yu Cheng
Zhe Gan
S. Sun
Tom Goldstein
Jingjing Liu
AAML
221
436
0
25 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,943
0
20 Apr 2018
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