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Data augmentation can boost a TF-IDF model to near state-of-the-art hate speech detection accuracy on certain datasets, rivaling much larger transformer models.
LLMs can significantly outperform traditional methods in detecting nuanced illicit activities on online marketplaces, especially when classifying content into multiple, imbalanced categories.
