Advancing LLM detection in the ALTA 2024 Shared Task: Techniques and Analysis

• URL: http://arxiv.org/abs/2412.19076v1
• Date: Thu, 26 Dec 2024 06:23:53 GMT
• Title: Advancing LLM detection in the ALTA 2024 Shared Task: Techniques and Analysis
• Authors: Dima Galat,
• Abstract summary: This study explores techniques for identifying AI-generated text through sentence-level evaluation within hybrid articles. ChatGPT-3.5 Turbo exhibits distinct, repetitive probability patterns that enable consistent in-domain detection.
• Score: 0.565658124285176
• License:
• Abstract: The recent proliferation of AI-generated content has prompted significant interest in developing reliable detection methods. This study explores techniques for identifying AI-generated text through sentence-level evaluation within hybrid articles. Our findings indicate that ChatGPT-3.5 Turbo exhibits distinct, repetitive probability patterns that enable consistent in-domain detection. Empirical tests show that minor textual modifications, such as rewording, have minimal impact on detection accuracy. These results provide valuable insights for advancing AI detection methodologies, offering a pathway toward robust solutions to address the complexities of synthetic text identification.

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