Athar at QIAS2025: LLM-based question answering systems for Islamic inheritance and classical Islamic knowledge

Noureldien, Yossra and Suliman, Hassan and Attallah, Farah and Mohamed, Abdelrazig and Abdalla, Sara Siddig Ali (2025) Athar at QIAS2025: LLM-based question answering systems for Islamic inheritance and classical Islamic knowledge. In: 3rd Arabic Natural Language Processing Conference: Shared Tasks, November 2025, Suzhou, China.

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Abstract

The intersection of Arabic linguistic complexity and specialized reasoning presents a key challenge for Islamic question-answering systems, particularly in the under-addressed area of inheritance law. This paper presents our methodology for the QIAS2025 shared task, assessing LLM capabilities in Islamic knowledge through two subtasks: Inheritance Reasoning (ʿilm al-mawārīth) and General Islamic Assessment. A zero-shot, prompt-based approach with DeepSeek-R1 (deepseek-reasoner) addresses the former, while a three-stage RAG pipeline handles the latter. Our approaches achieved competitive results, with an accuracy of 0.704 for inheritance reasoning (10th place/15 teams) and 0.9272 for general Islamic assessment (2nd place/10 teams), demonstrating the efficacy of tailored model strategies for religious QA. These insights pave the way for more culturally and linguistically adaptive AI systems in Islamic scholarly applications.

Item Type:	Proceeding Paper (Other)
Additional Information:	11444/124136
Uncontrolled Keywords:	Large language models, LLMs, Question-answering systems, Islamic knowledge, Islamic inheritance
Subjects:	B Philosophy. Psychology. Religion > BP Islam. Bahaism. Theosophy, etc > BP190.5 Islamization of Knowledge BPL Islamic education T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Economics and Management Sciences Kulliyyah of Economics and Management Sciences > Department of Business Administration
Depositing User:	Dr Sara Siddig Ali Abdalla
Date Deposited:	19 Nov 2025 10:50
Last Modified:	19 Nov 2025 10:55
Queue Number:	2025-11-Q018
URI:	http://irep.iium.edu.my/id/eprint/124136

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