6 papers
What Makes a Good Fiqh Retriever? Answer Retrieval for Arabic Islamic Jurisprudence
Somaya Eltanbouly, Heba Sbahi, Samer Rashwani +4
Retrieval-Augmented Generation is used for Islamic question answering, but most systems are evaluated end-to-end, making retrieval failures difficult to isolate from generation fai…
IslamicTurathBench: A Multi-Task, Multi-Discipline Benchmark for Evaluating Large Language Models on the Islamic Scholarly Tradition (turath)
Shahd Gaben, Heba Sbahi, Samer Rashwani +5
Large language models (LLMs) are increasingly used for question answering, education, and research, including in religious and cultural domains where answers depend on specialised…
HalluTruthQA: A Fine-Grained Benchmark for Hallucination Detection, Localization, and Explanation in Arabic Question Answering
Abdessalam Bouchekif, Mohammed-En-Nadhir Zighem, Salah Eddine Bekhouche +9
Large language models (LLMs) can generate fluent Arabic answers, yet factual errors remain difficult to detect, localize, explain, and verify. Existing hallucination benchmarks oft…
QIAS 2026: Overview of the Shared Task on Islamic Inheritance Reasoning
Abdessalam Bouchekif, Somaya Eltanbouly, Samer Rashwani +5
This paper presents a comprehensive overview of the QIAS 2026 shared task, organized as part of the OSACT7 Workshop and co-located with LREC 2026. The shared task was designed to e…
Grounding Arabic LLMs in the Doha Historical Dictionary: Retrieval-Augmented Understanding of Quran and Hadith
Somaya Eltanbouly, Samer Rashwani
Large language models (LLMs) have achieved remarkable progress in many language tasks, yet they continue to struggle with complex historical and religious Arabic texts such as the…
MAWARITH: A Dataset and Benchmark for Legal Inheritance Reasoning with LLMs
Abdessalam Bouchekif, Shahd Gaben, Samer Rashwani +5
Islamic inheritance law is challenging for large language models because solving inheritance cases requires complex, structured, multi-step reasoning and the correct application of…