Papers by Mutaz al-Khatib
From RAG to Agentic RAG for Faithful Islamic Question Answering (2026.findings-acl)
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Gagan Bhatia, Hamdy Mubarak, Mustafa Jarrar, George Mikros, Fadi Zaraket, Mahmoud Alhirthani, Mutaz al-Khatib, Logan Cochrane, Kareem Mohamed Darwish, Rashid Yahiaoui, Firoj Alam
| Challenge: | Large Language Models (LLMs) are increasingly used for Islamic question answering, where ungrounded responses may carry serious religious consequences. |
| Approach: | They propose a bilingual, bilingual, Arabic/English benchmark with atomic single-gold answers that measures hallucination and abstention. |
| Outcome: | The proposed model improves accuracy and robustness even with a small model. |