Hamyaria at PalmX2025: Leveraging Large Language Models to Improve Arabic Multiple-Choice Questions in Cultural and Islamic Domains

Walid Al-Dhabyani; Hamzah A. Alsayadi

Hamyaria at PalmX2025: Leveraging Large Language Models to Improve Arabic Multiple-Choice Questions in Cultural and Islamic Domains

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Anthology ID:: 2025.arabicnlp-sharedtasks.108
Volume:: Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks
Month:: November
Year:: 2025
Address:: Suzhou, China
Editors:: Kareem Darwish, Ahmed Ali, Ibrahim Abu Farha, Samia Touileb, Imed Zitouni, Ahmed Abdelali, Sharefah Al-Ghamdi, Sakhar Alkhereyf, Wajdi Zaghouani, Salam Khalifa, Badr AlKhamissi, Rawan Almatham, Injy Hamed, Zaid Alyafeai, Areeb Alowisheq, Go Inoue, Khalil Mrini, Waad Alshammari
Venue:: ArabicNLP
SIG:
Publisher:: Association for Computational Linguistics
Note:
Pages:: 790–796
Language:
URL:: https://aclanthology.org/2025.arabicnlp-sharedtasks.108/
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Cite (ACL):: Walid Al-Dhabyani and Hamzah A. Alsayadi. 2025. Hamyaria at PalmX2025: Leveraging Large Language Models to Improve Arabic Multiple-Choice Questions in Cultural and Islamic Domains. In Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks, pages 790–796, Suzhou, China. Association for Computational Linguistics.
Cite (Informal):: Hamyaria at PalmX2025: Leveraging Large Language Models to Improve Arabic Multiple-Choice Questions in Cultural and Islamic Domains (Al-Dhabyani & A. Alsayadi, ArabicNLP 2025)
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PDF:: https://aclanthology.org/2025.arabicnlp-sharedtasks.108.pdf

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@inproceedings{al-dhabyani-a-alsayadi-2025-hamyaria,
    title = "Hamyaria at {P}alm{X}2025: Leveraging Large Language Models to Improve {A}rabic Multiple-Choice Questions in Cultural and Islamic Domains",
    author = "Al-Dhabyani, Walid  and
      A. Alsayadi, Hamzah",
    editor = "Darwish, Kareem  and
      Ali, Ahmed  and
      Abu Farha, Ibrahim  and
      Touileb, Samia  and
      Zitouni, Imed  and
      Abdelali, Ahmed  and
      Al-Ghamdi, Sharefah  and
      Alkhereyf, Sakhar  and
      Zaghouani, Wajdi  and
      Khalifa, Salam  and
      AlKhamissi, Badr  and
      Almatham, Rawan  and
      Hamed, Injy  and
      Alyafeai, Zaid  and
      Alowisheq, Areeb  and
      Inoue, Go  and
      Mrini, Khalil  and
      Alshammari, Waad",
    booktitle = "Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2025.arabicnlp-sharedtasks.108/",
    pages = "790--796",
    ISBN = "979-8-89176-356-2",
    abstract = ""
}

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%0 Conference Proceedings
%T Hamyaria at PalmX2025: Leveraging Large Language Models to Improve Arabic Multiple-Choice Questions in Cultural and Islamic Domains
%A Al-Dhabyani, Walid
%A A. Alsayadi, Hamzah
%Y Darwish, Kareem
%Y Ali, Ahmed
%Y Abu Farha, Ibrahim
%Y Touileb, Samia
%Y Zitouni, Imed
%Y Abdelali, Ahmed
%Y Al-Ghamdi, Sharefah
%Y Alkhereyf, Sakhar
%Y Zaghouani, Wajdi
%Y Khalifa, Salam
%Y AlKhamissi, Badr
%Y Almatham, Rawan
%Y Hamed, Injy
%Y Alyafeai, Zaid
%Y Alowisheq, Areeb
%Y Inoue, Go
%Y Mrini, Khalil
%Y Alshammari, Waad
%S Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-356-2
%F al-dhabyani-a-alsayadi-2025-hamyaria
%U https://aclanthology.org/2025.arabicnlp-sharedtasks.108/
%P 790-796

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Markdown (Informal)

[Hamyaria at PalmX2025: Leveraging Large Language Models to Improve Arabic Multiple-Choice Questions in Cultural and Islamic Domains](https://aclanthology.org/2025.arabicnlp-sharedtasks.108/) (Al-Dhabyani & A. Alsayadi, ArabicNLP 2025)

Hamyaria at PalmX2025: Leveraging Large Language Models to Improve Arabic Multiple-Choice Questions in Cultural and Islamic Domains (Al-Dhabyani & A. Alsayadi, ArabicNLP 2025)

ACL

Walid Al-Dhabyani and Hamzah A. Alsayadi. 2025. Hamyaria at PalmX2025: Leveraging Large Language Models to Improve Arabic Multiple-Choice Questions in Cultural and Islamic Domains. In Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks, pages 790–796, Suzhou, China. Association for Computational Linguistics.