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Generative Data Augmentation for Commonsense Reasoning

Generative Data Augmentation for Commonsense Reasoning

24 April 2020
Yiben Yang
Chaitanya Malaviya
Jared Fernandez
Swabha Swayamdipta
Ronan Le Bras
Ji-ping Wang
Chandra Bhagavatula
Yejin Choi
Doug Downey
    LRM
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Papers citing "Generative Data Augmentation for Commonsense Reasoning"

21 / 21 papers shown
Title
Exploring Data Augmentation Methods on Social Media Corpora
Exploring Data Augmentation Methods on Social Media Corpora
Isabel Garcia Pietri
Kineret Stanley
23
0
0
03 Mar 2023
How to choose "Good" Samples for Text Data Augmentation
How to choose "Good" Samples for Text Data Augmentation
Xiaotian Lin
Nankai Lin
Yingwen Fu
Ziyu Yang
Shengyi Jiang
28
2
0
02 Feb 2023
On-the-fly Denoising for Data Augmentation in Natural Language
  Understanding
On-the-fly Denoising for Data Augmentation in Natural Language Understanding
Tianqing Fang
Wenxuan Zhou
Fangyu Liu
Hongming Zhang
Yangqiu Song
Muhao Chen
31
1
0
20 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 F. Abdelzaher
Jiawei Han
VLM
39
46
0
06 Nov 2022
Generating Data to Mitigate Spurious Correlations in Natural Language
  Inference Datasets
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets
Yuxiang Wu
Matt Gardner
Pontus Stenetorp
Pradeep Dasigi
19
67
0
24 Mar 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
S. Hoi
MLLM
BDL
VLM
CLIP
388
4,110
0
28 Jan 2022
Guiding Generative Language Models for Data Augmentation in Few-Shot
  Text Classification
Guiding Generative Language Models for Data Augmentation in Few-Shot Text Classification
A. Edwards
Asahi Ushio
Jose Camacho-Collados
Hélène de Ribaupierre
Alun D. Preece
VLM
11
23
0
17 Nov 2021
Automatic Knowledge Augmentation for Generative Commonsense Reasoning
Automatic Knowledge Augmentation for Generative Commonsense Reasoning
Jaehyung Seo
Chanjun Park
Sugyeong Eo
Hyeonseok Moon
Heuiseok Lim
ReLM
LRM
6
3
0
30 Oct 2021
Interpreting Deep Learning Models in Natural Language Processing: A
  Review
Interpreting Deep Learning Models in Natural Language Processing: A Review
Xiaofei Sun
Diyi Yang
Xiaoya Li
Tianwei Zhang
Yuxian Meng
Han Qiu
Guoyin Wang
Eduard H. Hovy
Jiwei Li
17
44
0
20 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
34
36
0
11 Oct 2021
Generate, Annotate, and Learn: NLP with Synthetic Text
Generate, Annotate, and Learn: NLP with Synthetic Text
Xuanli He
Islam Nassar
J. Kiros
Gholamreza Haffari
Mohammad Norouzi
17
51
0
11 Jun 2021
On Sample Based Explanation Methods for NLP:Efficiency, Faithfulness,
  and Semantic Evaluation
On Sample Based Explanation Methods for NLP:Efficiency, Faithfulness, and Semantic Evaluation
Wei Zhang
Ziming Huang
Yada Zhu
Guangnan Ye
Xiaodong Cui
Fan Zhang
19
17
0
09 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
22
796
0
07 May 2021
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided
  Conditional Generation
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation
Ruibo Liu
Guangxuan Xu
Chenyan Jia
Weicheng Ma
Lili Wang
Soroush Vosoughi
23
107
0
05 Dec 2020
Learning Knowledge Bases with Parameters for Task-Oriented Dialogue
  Systems
Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems
Andrea Madotto
Samuel Cahyawijaya
Genta Indra Winata
Yan Xu
Zihan Liu
Zhaojiang Lin
Pascale Fung
18
59
0
28 Sep 2020
Data Augmentation using Pre-trained Transformer Models
Data Augmentation using Pre-trained Transformer Models
Varun Kumar
Ashutosh Choudhary
Eunah Cho
VLM
209
315
0
04 Mar 2020
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu
Yu Cheng
Zhe Gan
S. Sun
Tom Goldstein
Jingjing Liu
AAML
221
436
0
25 Sep 2019
Generating Natural Language Adversarial Examples
Generating Natural Language Adversarial Examples
M. Alzantot
Yash Sharma
Ahmed Elgohary
Bo-Jhang Ho
Mani B. Srivastava
Kai-Wei Chang
AAML
243
914
0
21 Apr 2018
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
6,943
0
20 Apr 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase
  Networks
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer
John Wieting
Kevin Gimpel
Luke Zettlemoyer
AAML
GAN
185
711
0
17 Apr 2018
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,878
0
15 Sep 2016
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