The content delves into the challenges posed by Large Language Models (LLMs) in generating human-like text, highlighting risks such as discrimination, toxicity, factual inconsistency, copyright infringement, and misinformation dissemination. Various detection techniques are explored, including supervised methods, zero-shot detection, retrieval-based approaches, watermarking techniques, and feature-based detection. Vulnerabilities of these methods are discussed along with theoretical insights on the feasibility of detecting AI-generated text.
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arxiv.org
Önemli Bilgiler Şuradan Elde Edildi
by Sara Abdali,... : arxiv.org 03-12-2024
https://arxiv.org/pdf/2403.05750.pdfDaha Derin Sorular