Papers by Ghadah Alabduljabbar
AraEval: An Arabic Multi-Task Evaluation Suite for Large Language Models (2025.emnlp-main)
Copied to clipboard
Alhanoof Althnian, Norah A. Alzahrani, Shaykhah Z. Alsubaie, Eman Albilali, Ahmed Abdelali, Nouf M. Alotaibi, M Saiful Bari, Yazeed Alnumay, Abdulhamed Alothaimen, Maryam Saif, Shahad D. Alzaidi, Faisal Abdulrahman Mirza, Yousef Almushayqih, Mohammed Al Saleem, Ghadah Alabduljabbar, Abdulmohsen Al-Thubaity, Areeb Alowisheq, Nora Al-Twairesh
| Challenge: | AraEval is a suite of evaluation tasks designed to assess the advanced knowledge, reasoning, truthfulness, and instruction following capabilities of large language models. |
| Approach: | They propose to use AraEval to assess the advanced knowledge, reasoning, truthfulness, and instruction following capabilities of large language models in the Arabic context. |
| Outcome: | The evaluation suite covers a broad spectrum of domains, including science, history, religion, and literature. |