Detection of AI-Generated Texts: A Bi-LSTM and Attention-Based Approach
This paper presents a novel algorithm that leverages cutting-edge machine-learning techniques to accurately and efficiently detect AI-generated texts. Rapid advancements in natural language processing models have led to the generation of text closely resembling human language, making it increasingly...
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| Main Authors: | John Blake, Abu Saleh Musa Miah, Krzysztof Kredens, Jungpil Shin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10971184/ |
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