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Rethink the Effectiveness of Text Data Augmentation: An Empirical
  Analysis

Rethink the Effectiveness of Text Data Augmentation: An Empirical Analysis

13 June 2023
Zhengxiang Shi
Aldo Lipani
ArXivPDFHTML

Papers citing "Rethink the Effectiveness of Text Data Augmentation: An Empirical Analysis"

3 / 3 papers shown
Title
Don't Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner
Don't Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner
Zhengxiang Shi
Aldo Lipani
VLM
CLL
27
21
0
02 May 2023
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,913
0
31 Dec 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
1,586
0
21 Jan 2020
1