Author

Clemencia Siro

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LLMs as Annotators: Evaluating Model–Human Alignment in Detecting Contentious Language in Historical Corpora

It is suggested that LLMs can serve as auxiliary annotators for sensitive-language detection in historical materials, provided that human oversight and contextual interpretation remain central to annotation workflows.

Ya-Hui Zhao, Clemencia Siro, L. Hollink et al. · 0 citations

Review Jul 2026

LLM Safety Alignment in Low-Resource Languages: A Systematic Literature Review

Overall, the results reveal a persistent multilingual safety gap, and suggest that future progress will require culturally grounded benchmarks, participatory data collection, balanced multilingual pre-training, and scalable multilingual alignment methods.

Valdini Douglace Lemofouet, Blessing Ngozi Uzor, Paula Chikaodinaka Anyanwu et al. · 0 citations