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Using GPT-4 to Augment Unbalanced Data for Automatic Scoring
v1v2 (latest)

Using GPT-4 to Augment Unbalanced Data for Automatic Scoring

25 October 2023
Luyang Fang
Gyeong-Geon Lee
Xiaoming Zhai
ArXiv (abs)PDFHTML

Papers citing "Using GPT-4 to Augment Unbalanced Data for Automatic Scoring"

14 / 14 papers shown
Title
Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge
Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge
Yaxuan Yang
Shiyu Wang
Xiaoming Zhai
ELM
20
0
0
25 May 2025
Data Augmentation Approaches in Natural Language Processing: A Survey
Data Augmentation Approaches in Natural Language Processing: A Survey
Bohan Li
Yutai Hou
Wanxiang Che
217
284
0
05 Oct 2021
A Survey on Data Augmentation for Text Classification
A Survey on Data Augmentation for Text Classification
Markus Bayer
M. Kaufhold
Christian A. Reuter
145
354
0
07 Jul 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
108
828
0
07 May 2021
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation
Kang Min Yoo
Dongju Park
Jaewook Kang
Sang-Woo Lee
Woomyeong Park
98
242
0
18 Apr 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
77
109
0
05 Dec 2020
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent
  Classification
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification
Varun Kumar
Hadrien Glaude
Cyprien de Lichy
William Campbell
72
85
0
09 Oct 2019
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and
  lighter
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh
Lysandre Debut
Julien Chaumond
Thomas Wolf
267
7,554
0
02 Oct 2019
Augmenting Data with Mixup for Sentence Classification: An Empirical
  Study
Augmenting Data with Mixup for Sentence Classification: An Empirical Study
Hongyu Guo
Yongyi Mao
Richong Zhang
76
235
0
22 May 2019
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text
  Classification Tasks
EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks
Jason W. Wei
Kai Zou
119
1,964
0
31 Jan 2019
Data Augmentation Generative Adversarial Networks
Data Augmentation Generative Adversarial Networks
Antreas Antoniou
Amos Storkey
Harrison Edwards
MedImGAN
149
1,074
0
12 Nov 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
316
9,815
0
25 Oct 2017
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAIOCL
406
33,573
0
16 Oct 2013
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
388
25,747
0
09 Jun 2011
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