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Instruction-tuned LLMs can outperform specialized models in hate speech detection, achieving state-of-the-art results across multiple domains and languages.
LLMs exhibit a stark performance disparity in mathematical reasoning, with underrepresented languages lagging significantly behind their high-resource counterparts.
