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Exploring the potential of using ChatGPT for rhetorical move-step analysis: The impact of prompt refinement, few-shot learning, and fine-tuning
Minjin Kim,
Xiaofei Lu
Applied Linguistics
Research output
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Contribution to journal
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Article
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peer-review
5
Scopus citations
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Dive into the research topics of 'Exploring the potential of using ChatGPT for rhetorical move-step analysis: The impact of prompt refinement, few-shot learning, and fine-tuning'. Together they form a unique fingerprint.
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Keyphrases
Step Analysis
100%
Rhetorical Moves
100%
Few-shot Learning
100%
Chat Generative Pre-trained Transformer (ChatGPT)
100%
Specific Intent
25%
Performance Improvement
25%
Evaluation Results
25%
Pedagogy
25%
Training Set
25%
Space Model
25%
Swale
25%
Applied Linguistics
25%
Validation Set
25%
Introduction Section
25%
Discourse Levels
25%
Zero-shot
25%
Model Fine-tuning
25%
Computer Science
Annotation
100%
Few-Shot Learning
100%
ChatGPT
100%
Evaluation Result
25%
Performance Improvement
25%
Modified Version
25%
Validation Set
25%
Arts and Humanities
Discourse
100%
Applied Linguistics
100%
Research articles
100%
Section Introduction
100%
Social Sciences
Applied Linguistics
100%
Research Article
100%
Discourse
100%
Psychology
Training Set
100%