Cited By
View all- Jambunathan SShankarnarayan ADube P(2024)ConvNLP: Image-based AI Text Detection2024 IEEE International Conference on Big Data (BigData)10.1109/BigData62323.2024.10825691(6260-6268)Online publication date: 15-Dec-2024
Decoding the AI Pen: Techniques and Challenges in Detecting AI-Generated Text
Pages 6428 - 6436
Abstract
Large Language Models (LLMs) have revolutionized the field of Natural Language Generation (NLG) by demonstrating an impressive ability to generate human-like text. However, their widespread usage introduces challenges that necessitate thoughtful examination, ethical scrutiny, and responsible practices. In this study, we delve into these challenges, explore existing strategies for mitigating them, with a particular emphasis on identifying AI-generated text as the ultimate solution. Additionally, we assess the feasibility of detection from a theoretical perspective and propose novel research directions to address the current limitations in this domain.
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View all- Jambunathan SShankarnarayan ADube P(2024)ConvNLP: Image-based AI Text Detection2024 IEEE International Conference on Big Data (BigData)10.1109/BigData62323.2024.10825691(6260-6268)Online publication date: 15-Dec-2024
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