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VarMAE: Pre-training of Variational Masked Autoencoder for
  Domain-adaptive Language Understanding

VarMAE: Pre-training of Variational Masked Autoencoder for Domain-adaptive Language Understanding

1 November 2022
Dou Hu
Xiaolong Hou
Xiyang Du
Mengyuan Zhou
Lian-Xin Jiang
Yang Mo
Xiaofeng Shi
ArXivPDFHTML

Papers citing "VarMAE: Pre-training of Variational Masked Autoencoder for Domain-adaptive Language Understanding"

5 / 5 papers shown
Title
Exploring the use of a Large Language Model for data extraction in systematic reviews: a rapid feasibility study
Exploring the use of a Large Language Model for data extraction in systematic reviews: a rapid feasibility study
Lena Schmidt
Kaitlyn Hair
Sergio Graziozi
Fiona Campbell
Claudia Kapp
Alireza Khanteymoori
Dawn Craig
Mark Engelbert
James Thomas
24
4
0
23 May 2024
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient
  Framework
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework
Xingcheng Yao
Yanan Zheng
Xiaocong Yang
Zhilin Yang
18
36
0
07 Nov 2021
ERICA: Improving Entity and Relation Understanding for Pre-trained
  Language Models via Contrastive Learning
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning
Yujia Qin
Yankai Lin
Ryuichi Takanobu
Zhiyuan Liu
Peng Li
Heng Ji
Minlie Huang
Maosong Sun
Jie Zhou
38
125
0
30 Dec 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
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
6,003
0
20 Apr 2018
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
29,632
0
16 Jan 2013
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