Detecting LLM-Generated Texts with “Classical” Machine Learning
8.1 relevance
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Detecting LLM text with classical ML, highly relevant and practical.
Summary
A developer built a classical ML classifier using scikit-learn's Linear SVC and Naive Bayes to detect LLM-generated text, achieving ~85% single-sentence accuracy on a test set. The approach relies on statistical patterns in word choice rather than perplexity-based methods, which proved unreliable and costly. The project is open-source and includes a live demo, suggesting that many commercial AI plagiarism checkers may use similar lightweight techniques.
Author
lyc8503