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Neural Data Augmentation via Example Extrapolation

Neural Data Augmentation via Example Extrapolation

2 February 2021
Kenton Lee
Kelvin Guu
Luheng He
Timothy Dozat
Hyung Won Chung
ArXivPDFHTML

Papers citing "Neural Data Augmentation via Example Extrapolation"

27 / 27 papers shown
Title
CorrSynth -- A Correlated Sampling Method for Diverse Dataset Generation from LLMs
CorrSynth -- A Correlated Sampling Method for Diverse Dataset Generation from LLMs
Suhas S Kowshik
Abhishek Divekar
Vijit Malik
SyDa
42
0
0
13 Nov 2024
CAMEL: Communicative Agents for "Mind" Exploration of Large Language
  Model Society
CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society
Ge Li
Hasan Hammoud
Hani Itani
Dmitrii Khizbullin
Guohao Li
SyDa
ALM
50
413
0
31 Mar 2023
Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL
  Robustness
Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness
Shuaichen Chang
Jun Wang
Mingwen Dong
Lin Pan
Henghui Zhu
...
William Yang Wang
Zhiguo Wang
Vittorio Castelli
Patrick Ng
Bing Xiang
OOD
46
34
0
21 Jan 2023
Unnatural Instructions: Tuning Language Models with (Almost) No Human
  Labor
Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor
Or Honovich
Thomas Scialom
Omer Levy
Timo Schick
ALM
48
363
0
19 Dec 2022
FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP
  Tasks
FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks
Weilong Dong
Xinwei Wu
Junzhuo Li
Shuangzhi Wu
Chao Bian
Deyi Xiong
FedML
34
6
0
16 Dec 2022
Tuning Language Models as Training Data Generators for
  Augmentation-Enhanced Few-Shot Learning
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning
Yu Meng
Martin Michalski
Jiaxin Huang
Yu Zhang
Tarek Abdelzaher
Jiawei Han
VLM
64
47
0
06 Nov 2022
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback
Jiacheng Ye
Jiahui Gao
Jiangtao Feng
Zhiyong Wu
Tao Yu
Lingpeng Kong
SyDa
VLM
81
72
0
22 Oct 2022
RARR: Researching and Revising What Language Models Say, Using Language
  Models
RARR: Researching and Revising What Language Models Say, Using Language Models
Luyu Gao
Zhuyun Dai
Panupong Pasupat
Anthony Chen
Arun Tejasvi Chaganty
...
Vincent Zhao
Ni Lao
Hongrae Lee
Da-Cheng Juan
Kelvin Guu
HILM
KELM
41
257
0
17 Oct 2022
LINGUIST: Language Model Instruction Tuning to Generate Annotated
  Utterances for Intent Classification and Slot Tagging
LINGUIST: Language Model Instruction Tuning to Generate Annotated Utterances for Intent Classification and Slot Tagging
Andrew Rosenbaum
Saleh Soltan
Wael Hamza
Yannick Versley
M. Boese
19
43
0
20 Sep 2022
Few-shot Mining of Naturally Occurring Inputs and Outputs
Few-shot Mining of Naturally Occurring Inputs and Outputs
Mandar Joshi
Terra Blevins
M. Lewis
Daniel S. Weld
Luke Zettlemoyer
33
1
0
09 May 2022
Data Augmentation for Intent Classification with Off-the-shelf Large
  Language Models
Data Augmentation for Intent Classification with Off-the-shelf Large Language Models
Gaurav Sahu
Pau Rodríguez López
I. Laradji
Parmida Atighehchian
David Vazquez
Dzmitry Bahdanau
26
61
0
05 Apr 2022
Variational Autoencoder with Disentanglement Priors for Low-Resource
  Task-Specific Natural Language Generation
Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation
Zhuang Li
Lizhen Qu
Qiongkai Xu
Tongtong Wu
Tianyang Zhan
Gholamreza Haffari
CoGe
UD
DRL
46
4
0
27 Feb 2022
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
Jiacheng Ye
Jiahui Gao
Qintong Li
Hang Xu
Jiangtao Feng
Zhiyong Wu
Tao Yu
Lingpeng Kong
SyDa
49
212
0
16 Feb 2022
WANLI: Worker and AI Collaboration for Natural Language Inference
  Dataset Creation
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation
Alisa Liu
Swabha Swayamdipta
Noah A. Smith
Yejin Choi
82
213
0
16 Jan 2022
Controllable Semantic Parsing via Retrieval Augmentation
Controllable Semantic Parsing via Retrieval Augmentation
Panupong Pasupat
Yuan Zhang
Kelvin Guu
132
47
0
16 Oct 2021
Few-shot Controllable Style Transfer for Low-Resource Multilingual
  Settings
Few-shot Controllable Style Transfer for Low-Resource Multilingual Settings
Kalpesh Krishna
Deepak Nathani
Xavier Garcia
Bidisha Samanta
Partha P. Talukdar
42
24
0
14 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
Towards Zero-Label Language Learning
Towards Zero-Label Language Learning
Zirui Wang
Adams Wei Yu
Orhan Firat
Yuan Cao
SyDa
188
102
0
19 Sep 2021
STraTA: Self-Training with Task Augmentation for Better Few-shot
  Learning
STraTA: Self-Training with Task Augmentation for Better Few-shot Learning
Tu Vu
Minh-Thang Luong
Quoc V. Le
Grady Simon
Mohit Iyyer
131
61
0
13 Sep 2021
Good-Enough Example Extrapolation
Good-Enough Example Extrapolation
Jason W. Wei
27
5
0
12 Sep 2021
A Survey on Data Augmentation for Text Classification
A Survey on Data Augmentation for Text Classification
Markus Bayer
M. Kaufhold
Christian A. Reuter
38
336
0
07 Jul 2021
Generative Conversational Networks
Generative Conversational Networks
Alexandros Papangelis
Karthik Gopalakrishnan
Aishwarya Padmakumar
Seokhwan Kim
Gokhan Tur
Dilek Z. Hakkani-Tür
27
18
0
15 Jun 2021
A Survey of Data Augmentation Approaches for NLP
A Survey of Data Augmentation Approaches for NLP
Steven Y. Feng
Varun Gangal
Jason W. Wei
Sarath Chandar
Soroush Vosoughi
Teruko Mitamura
Eduard H. Hovy
AIMat
44
801
0
07 May 2021
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
1,591
0
21 Jan 2020
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
Tianyu Gao
Xu Han
Hao Zhu
Zhiyuan Liu
Peng Li
Maosong Sun
Jie Zhou
211
244
0
16 Oct 2019
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
454
2,592
0
03 Sep 2019
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
273
1,275
0
06 Mar 2017
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