TriPlaNet: Enhancing machine-paraphrasing plagiarism detection through triplet network and contrastive learning
Powerful large language models (LLMs) have generated and paraphrased texts that are difficult for humans to distinguish from human-authored texts, sparking concerns about their potential misuse. Previous studies on detecting LLM-paraphrased texts have either proposed ineffective solutions and/or fai...
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| Auteurs principaux: | , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Elsevier
2025-09-01
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| Collection: | Egyptian Informatics Journal |
| Sujets: | |
| Accès en ligne: | http://www.sciencedirect.com/science/article/pii/S1110866525001458 |
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