@inproceedings{bouchekif-etal-2025-qias,
    title = "{QIAS} 2025: Overview of the Shared Task on Islamic Inheritance Reasoning and Knowledge Assessment",
    author = "Bouchekif, Abdessalam  and
      Rashwani, Samer  and
      Mohamed, Emad Soliman Ali  and
      Alkhatib, Mutaz  and
      Sbahi, Heba  and
      Gaben, Shahd  and
      Zaghouani, Wajdi  and
      Erbad, Aiman  and
      Ghaly, Mohammed",
    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://preview.aclanthology.org/ingest-emnlp/2025.arabicnlp-sharedtasks.117/",
    pages = "851--860",
    ISBN = "979-8-89176-356-2",
    abstract = "This paper provides a comprehensive overview of the QIAS 2025 shared task, organized as part of the ArabicNLP 2025 conference and co-located with EMNLP 2025. The task was designed for the evaluation of large language models in the complex domains of religious and legal reasoning. It comprises two subtasks: (1) Islamic Inheritance Reasoning, requiring models to compute inheritance shares according to Islamic jurisprudence, and (2) Islamic Knowledge Assessment, which covers a range of traditional Islamic disciplines. Both subtasks were structured as multiple-choice question answering challenges, with questions stratified by varying difficulty levels. The shared task attracted significant interest, with 44 teams participating in the development phase, from which 18 teams advanced to the final test phase. Of these, 6 teams submitted entries for both subtasks, 8 for Task 1 only, and two for Task 3 only. Ultimately, 16 teams submitted system description papers. Herein, we detail the task{'}s motivation, dataset construction, evaluation protocol, and present a summary of the participating systems and their results."
}