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Evaluating the efficacy of hybrid deep learning models in distinguishing AI-generated text

Abstract:

My research investigates the use of cutting-edge hybrid deep learning models to accurately di!erentiate between AI-generated text and human writing. I applied a robust methodology, utilising a carefully selected dataset comprising AI and human texts from various sources, each tagged with instructions. Advanced natural language processing techniques facilitated the analysis of textual features. Combining sophisticated neural networks, the custom model enabled it to detect nuanced di!erences be...

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Publication status:
Accepted
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
ContEd
Role:
Author
ORCID:
0009-0006-4248-6098
Publisher:
Elsevier
Journal:
IFAC-PapersOnLine More from this journal
Publication date:
2023-11-23
Acceptance date:
2023-11-22
Event title:
17th Workshop on Discrete Event Systems (WODES 2024)
Event location:
Rio de Janeiro, Brazil
Event website:
https://wodes2024.eventos.ufrj.br/
Event start date:
2024-04-29
Event end date:
2024-05-01
EISSN:
2405-8963
Language:
English
Pubs id:
1569807
Local pid:
pubs:1569807
Deposit date:
2023-11-23

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