Targeted data augmentation with GPT-4 synthetic responses and ALP phrase-level extraction substantially improves SciBERT performance on severely imbalanced rubric categories for NGSS scientific explanations, achieving perfect precision/recall/F1 on several categories while outperforming SMOTE.
Introducint chatgpt.https://openai.com/blog/chatgpt/(Retrieved October 2, 2023), 2022
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Exploring Data Augmentation and Resampling Strategies for Transformer-Based Models to Address Class Imbalance in AI Scoring of Scientific Explanations in NGSS Classroom
Targeted data augmentation with GPT-4 synthetic responses and ALP phrase-level extraction substantially improves SciBERT performance on severely imbalanced rubric categories for NGSS scientific explanations, achieving perfect precision/recall/F1 on several categories while outperforming SMOTE.