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- W4385689699 abstract "<p> The scope of this manuscript covers the use of machine learning and deep learning models to detect and classify AI-generated text, with a particular focus on maintaining academic integrity in computer science. It also includes the creation and public release of a dataset comprising human and AI-generated content. The work also compares these models with existing solutions like Turnitin's AI plagiarism detector, contributing to a robust baseline for identifying AI-generated content in academia. </p>" @default.
- W4385689699 created "2023-08-10" @default.
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- W4385689699 date "2023-08-09" @default.
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- W4385689699 title "Detection and Classification of ChatGPT Generated Contents Using Deep Transformer Models" @default.
- W4385689699 doi "https://doi.org/10.36227/techrxiv.23895951.v1" @default.
- W4385689699 hasPublicationYear "2023" @default.
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