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AugGPT: Leveraging ChatGPT for Text Data Augmentation

AugGPT: Leveraging ChatGPT for Text Data Augmentation

25 February 2023
Haixing Dai
Zheng Liu
Wenxiong Liao
Xiaoke Huang
Yihan Cao
Zihao Wu
Lin Zhao
Shaochen Xu
W. Liu
Ninghao Liu
Sheng R. Li
Dajiang Zhu
Hongmin Cai
Lichao Sun
Quanzheng Li
Dinggang Shen
Tianming Liu
Xiang Li
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Papers citing "AugGPT: Leveraging ChatGPT for Text Data Augmentation"

19 / 19 papers shown
Title
Towards High-Fidelity Synthetic Multi-platform Social Media Datasets via Large Language Models
Towards High-Fidelity Synthetic Multi-platform Social Media Datasets via Large Language Models
Henry Tari
Nojus Sereiva
Rishabh Kaushal
T. Bertaglia
Adriana Iamnitchi
14
0
0
02 May 2025
Measuring Diversity in Synthetic Datasets
Measuring Diversity in Synthetic Datasets
Yuchang Zhu
Huizhe Zhang
Bingzhe Wu
Jintang Li
Zibin Zheng
Peilin Zhao
Liang Chen
Yatao Bian
95
0
0
12 Feb 2025
A Comprehensive Survey on Data Augmentation
A Comprehensive Survey on Data Augmentation
Zaitian Wang
Pengfei Wang
Kunpeng Liu
Pengyang Wang
Yanjie Fu
Chang-Tien Lu
Charu Aggarwal
Jian Pei
Yuanchun Zhou
ViT
85
18
0
15 May 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
A. Mumuni
F. Mumuni
39
4
0
13 Mar 2024
AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods
  in Low-resource Regimes
AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes
Juhwan Choi
Kyohoon Jin
Junho Lee
Sangmin Song
Youngbin Kim
11
1
0
08 Feb 2024
ConFit: Improving Resume-Job Matching using Data Augmentation and
  Contrastive Learning
ConFit: Improving Resume-Job Matching using Data Augmentation and Contrastive Learning
Xiao Yu
Jinzhong Zhang
Zhou Yu
17
1
0
29 Jan 2024
SDIF-DA: A Shallow-to-Deep Interaction Framework with Data Augmentation
  for Multi-modal Intent Detection
SDIF-DA: A Shallow-to-Deep Interaction Framework with Data Augmentation for Multi-modal Intent Detection
Shijue Huang
Libo Qin
Bingbing Wang
Geng Tu
Ruifeng Xu
8
4
0
31 Dec 2023
Evaluating multiple large language models in pediatric ophthalmology
Evaluating multiple large language models in pediatric ophthalmology
J. Holmes
Rui Peng
Yiwei Li
Jinyu Hu
Zheng Liu
...
Wei Liu
Hong Wei
Jie Zou
Tianming Liu
Yi Shao
AI4Ed
ELM
LM&MA
6
0
0
07 Nov 2023
Automated Claim Matching with Large Language Models: Empowering
  Fact-Checkers in the Fight Against Misinformation
Automated Claim Matching with Large Language Models: Empowering Fact-Checkers in the Fight Against Misinformation
Eun Cheol Choi
Emilio Ferrara
13
17
0
13 Oct 2023
Resolving the Imbalance Issue in Hierarchical Disciplinary Topic
  Inference via LLM-based Data Augmentation
Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation
Xunxin Cai
Meng Xiao
Zhiyuan Ning
Yuanchun Zhou
20
12
0
09 Oct 2023
Exploring Multimodal Approaches for Alzheimer's Disease Detection Using
  Patient Speech Transcript and Audio Data
Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Data
Hongmin Cai
Xiaoke Huang
Zheng Liu
Wenxiong Liao
Haixing Dai
...
Dajiang Zhu
Hui Ren
Quanzheng Li
Tianming Liu
Xiang Li
12
17
0
05 Jul 2023
ONCE: Boosting Content-based Recommendation with Both Open- and
  Closed-source Large Language Models
ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models
Qijiong Liu
Nuo Chen
Tetsuya Sakai
Xiao-Ming Wu
21
50
0
11 May 2023
Mask-guided BERT for Few Shot Text Classification
Mask-guided BERT for Few Shot Text Classification
Wenxiong Liao
Zheng Liu
Haixing Dai
Zihao Wu
Yiyang Zhang
...
Dajiang Zhu
Tianming Liu
Sheng R. Li
Xiang Li
Hongmin Cai
VLM
29
39
0
21 Feb 2023
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
275
3,784
0
18 Apr 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
238
1,898
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
206
315
0
04 Mar 2020
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
230
909
0
21 Apr 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
234
11,568
0
09 Mar 2017
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