Fine-tuning large general-purpose text embeddings with a simple instruction yields state-of-the-art implicit hate speech detection, with up to 20.35 point cross-dataset F1 gains.
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Specializing General-purpose LLM Embeddings for Implicit Hate Speech Detection across Datasets
Fine-tuning large general-purpose text embeddings with a simple instruction yields state-of-the-art implicit hate speech detection, with up to 20.35 point cross-dataset F1 gains.