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Generating Datasets with Pretrained Language Models

Generating Datasets with Pretrained Language Models

15 April 2021
Timo Schick
Hinrich Schütze
ArXivPDFHTML

Papers citing "Generating Datasets with Pretrained Language Models"

11 / 61 papers shown
Title
Recent Advances in Natural Language Processing via Large Pre-Trained
  Language Models: A Survey
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
Bonan Min
Hayley L Ross
Elior Sulem
Amir Pouran Ben Veyseh
Thien Huu Nguyen
Oscar Sainz
Eneko Agirre
Ilana Heinz
Dan Roth
LM&MA
VLM
AI4CE
83
1,035
0
01 Nov 2021
Symbolic Knowledge Distillation: from General Language Models to
  Commonsense Models
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models
Peter West
Chandrasekhar Bhagavatula
Jack Hessel
Jena D. Hwang
Liwei Jiang
Ronan Le Bras
Ximing Lu
Sean Welleck
Yejin Choi
SyDa
54
320
0
14 Oct 2021
Unsupervised Neural Machine Translation with Generative Language Models
  Only
Unsupervised Neural Machine Translation with Generative Language Models Only
Jesse Michael Han
Igor Babuschkin
Harrison Edwards
Arvind Neelakantan
Tao Xu
...
Alex Ray
Pranav Shyam
Aditya A. Ramesh
Alec Radford
Ilya Sutskever
52
36
0
11 Oct 2021
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models
Ivan Vulić
Pei-hao Su
Sam Coope
D. Gerz
Paweł Budzianowski
I. Casanueva
Nikola Mrkvsić
Tsung-Hsien Wen
27
36
0
21 Sep 2021
What Changes Can Large-scale Language Models Bring? Intensive Study on
  HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers
Boseop Kim
Hyoungseok Kim
Sang-Woo Lee
Gichang Lee
Donghyun Kwak
...
Jaewook Kang
Inho Kang
Jung-Woo Ha
W. Park
Nako Sung
VLM
249
121
0
10 Sep 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods
  in Natural Language Processing
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
Pengfei Liu
Weizhe Yuan
Jinlan Fu
Zhengbao Jiang
Hiroaki Hayashi
Graham Neubig
VLM
SyDa
58
3,838
0
28 Jul 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
262
374
0
28 Feb 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
243
1,924
0
31 Dec 2020
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
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
296
31,267
0
16 Jan 2013
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