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GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation

GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation

18 April 2021
Kang Min Yoo
Dongju Park
Jaewook Kang
Sang-Woo Lee
Woomyeong Park
ArXivPDFHTML

Papers citing "GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation"

5 / 155 papers shown
Title
Impact of Gender Debiased Word Embeddings in Language Modeling
Impact of Gender Debiased Word Embeddings in Language Modeling
Christine Basta
Marta R. Costa-jussá
26
4
0
03 May 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based
  Bias in NLP
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP
Timo Schick
Sahana Udupa
Hinrich Schütze
259
374
0
28 Feb 2021
Data Augmentation using Pre-trained Transformer Models
Data Augmentation using Pre-trained Transformer Models
Varun Kumar
Ashutosh Choudhary
Eunah Cho
VLM
216
315
0
04 Mar 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
258
1,589
0
21 Jan 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
245
1,821
0
17 Sep 2019
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