Detecting hate speech in low-resource and unseen languages remains challenging due to limited labeled data and linguistic diversity. This paper presents a comparative study of zero-shot cross-lingual transfer for hate speech detection using two multilingual transformer models: mDeBERTa-v3 and XLM-RoBERTa. To the best o...
Ghadeer Al-Badani, M. Alsurori, Akram Alsubari· 2026 6th International Confe...· 0 citations
This paper introduces MAAD, a high-quality, carefully constructed and curated by the authors large-scale Arabic dataset for abstractive news summarisation. The authors selected a high-quality subset of 50,000 articles from the dataset Original, which contains 602,792 articles. To maintain the quality, diversity, and tr...
M. Al-Nahari, Ayedh Abdulaziz Mohsen, Nada Abdu Al-Humidi et al.· 2026 6th International Confe...· 0 citations
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