Papers by Mustafa Ghaleb

2 papers
Masader: Metadata Sourcing for Arabic Text and Speech Data Resources (2022.lrec-1)

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Challenge: Currently, there is no online catalogue for Arabic datasets with annotated attributes . this paper aims to identify the publicly available Arabic dataset and provide a catalogue of them to researchers.
Approach: They propose to create the largest public catalogue for Arabic NLP datasets with 25 attributes and a metadata annotation strategy that could be extended to other languages.
Outcome: The proposed approach could be extended to other languages and regions.
CIDAR: Culturally Relevant Instruction Dataset For Arabic (2024.findings-acl)

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Challenge: Instruction tuning datasets predominantly cater to English or are derived from English-dominated LLMs.
Approach: They propose to use an Arabic instruction tuning dataset culturally aligned by native Arabic speakers to address drawbacks of finetuning LLMs on machine-generated or machinetranslated datasets.
Outcome: The proposed datasets show that they achieve better cultural alignment than models fine-tuned on other datasets.

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