An article discusses using traditional machine learning models to detect text generated by large language models (LLMs).
As of early 2026, LLM-generated texts show distinct statistical patterns that can be differentiated from human-written content. The demo model, not optimized or trained on general-purpose data, achieves an accuracy of about 85% on single-sentence detection. The author notes that similar methods may be used by AI plagiarism checkers to identify AI-generated content.