Continued pre-training on web data and LLM-ensemble synthetic labels improve multilingual hate speech detection, with gains up to 11% for small models in low-resource settings.
Our work instead applies the ensemble paradigm to the annotationphase, combining token-probability out- puts from four LLMs
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Toward Generalized Cross-Lingual Hateful Language Detection with Web-Scale Data and Ensemble LLM Annotations
Continued pre-training on web data and LLM-ensemble synthetic labels improve multilingual hate speech detection, with gains up to 11% for small models in low-resource settings.