Papers by Ebrahim Chekol Jibril

2 papers
AfriHate: A Multilingual Collection of Hate Speech and Abusive Language Datasets for African Languages (2025.naacl-long)

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Challenge: Hate speech and abusive language are global phenomena that need sociocultural background knowledge to be understood, identified, and moderated.
Approach: They propose to use a multilingual dataset to collect hate speech and abusive language in 15 African languages to help improve model performance.
Outcome: The proposed datasets are based on tweets annotated by native speakers familiar with the regional culture and show that they perform well in low-resource settings.
EthioLLM: Multilingual Large Language Models for Ethiopian Languages with Task Evaluation (2024.lrec-main)

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Challenge: Low-resource languages are lagging behind current state-of-the-art (SOTA) developments in the field of NLP due to insufficient resources to train LLMs.
Approach: They propose to use multilingual large language models for five Ethiopian languages and a benchmark dataset to evaluate their performance.
Outcome: The proposed models outperform existing models in five Ethiopian languages and a benchmark dataset for various downstream NLP tasks.

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