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Lea Hirlimann

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#artificial intelligence Preprint Apr 2026

Do We Still Need Humans in the Loop? Human vs. LLM Annotation in Active Learning for TikTok Hate Speech Detection

LLM annotation at scale outperforms human-supervised classifiers at roughly one-tenth the cost, for both a closed-source and an open-weight LLM, and the advantage is robust under soft-label evaluation.

Ahmad Dawar Hakimi, Lea Hirlimann, Isabelle Augenstein et al. · 0 citations