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%2C DistillBERT (arXiv:1910.01108)%2C RoBERTa (arXiv:1907.11692)%2C and LLaMA-2 (arXiv:2307.09288)%2C complemented by the LoRA fine-tuning approach (arXiv:2106.09685). This paper delineates and evaluates the comparative efficacy of these cutting-edge methods in tackling the intricacies of hate speech detection%2C highlighting the need for responsible and carefully managed AI applications within sensitive contexts.?quality=80&w=800)
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