most citedFrom RAG to Agentic RAG for Faithful Islamic Question Answering

1 citations · 1 across the 5 of their papers we have counts for

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5 papers

cs.CL2026

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…

cs.CL2026

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…

cs.CL20261 cited

From RAG to Agentic RAG for Faithful Islamic Question Answering

Gagan Bhatia, Hamdy Mubarak, Mustafa Jarrar +8

Large Language Models (LLMs) are increasingly used for Islamic question answering, where ungrounded responses may carry serious religious consequences. Yet standard MCQ/MRC-style e…

cs.CL2026

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…

cs.CL2026

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…