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Annotation Guidelines-Based Knowledge Augmentation: Towards Enhancing Large Language Models for Educational Text Classification

Annotation Guidelines-Based Knowledge Augmentation: Towards Enhancing Large Language Models for Educational Text Classification

Shiqi Liu
Sannyuya Liu
Lele Sha
Zijie Zeng
D. Gašević
Zhi Liu
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Papers citing "Annotation Guidelines-Based Knowledge Augmentation: Towards Enhancing Large Language Models for Educational Text Classification"

3 / 3 papers shown
Title
Practical and Ethical Challenges of Large Language Models in Education: A Systematic Scoping Review
Practical and Ethical Challenges of Large Language Models in Education: A Systematic Scoping Review
Lixiang Yan
Lele Sha
Linxuan Zhao
Yuheng Li
Roberto Martínez-Maldonado
Guanliang Chen
Xinyu Li
Yueqiao Jin
D. Gašević
SyDa
ELM
AI4Ed
46
93
0
17 Mar 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
270
8,441
0
04 Mar 2022
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
129
22,469
0
09 Jun 2011