Hatebench in the era of safer LLMs
A reproducibility study of the HateBench paper, investigating whether existing hate speech detectors, typically trained on human-authored data, generalize to LLM-generated hateful content, and evaluating whether their reported weaknesses are stable over time and robust to evolving components.