Article

Teacher-Student Framework for Short-Context Classification with Domain Adaptation and Data Augmentation

2025-05-30

Abstract excerpt

Detecting AI-generated text is an important challenge, especially as large language models become better at creating content that looks like human writing. This paper presents a teacher-student framework to improve the performance and efficiency of short-context document classification. The framework uses domain adaptation and data augmentation to improve detection. The teacher model combines DeBERTa-v3-large and...

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Literature Corpus work: d4bfd307-4d25-5a78-86a5-9ce732aae16d
DOI: 10.20944/preprints202505.2421.v1

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