---
title: "Who cites Shehenaz Hossain — 5 papers of our library"
description: "5 papers of the Elamur Research library cite the works of Shehenaz Hossain, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/shehenaz-hossain/cited-by/"
---
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# Who cites Shehenaz Hossain

5 citations of their works from 5 papers of our library (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← Shehenaz Hossain](https://md.research.elamur.ai/free/en/authors/shehenaz-hossain/)

1. **[PalmX 2025: The First Shared Task on Benchmarking LLMs on Arabic and Islamic Culture](https://md.research.elamur.ai/free/en/papers/alwajih-2025-palmx-2025-first-shared-task/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Fakhraddin Alwajih, Abdellah El Mekki, Hamdy Mubarak, et al.*2025 · 23 citations*
2. [**MAWARITH: A Dataset and Benchmark for Legal Inheritance Reasoning with LLMs arXiv:2603.07539**Abdessalam Bouchekif; Shahd Gaben; Samer Rashwani; Somaya Eltanbouly; Mutaz Al-Khatib; Heba Sbahi; Mohammed Ghaly;, Emad Mohamed*2026 · 9 citations*](https://md.research.elamur.ai/free/en/papers/bouchekif-2026-mawarith-dataset-benchmark-legal-inheritance/)
3. **[QIAS 2026: Overview of the Shared Task on Islamic Inheritance Reasoning](https://md.research.elamur.ai/free/en/papers/bouchekif-2026-qias-2026-overview-shared-task/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Abdessalam Bouchekif, Somaya Eltanbouly, Shahd Gaben, et al.*2026 · 3 citations*
4. **[ADAPT–MTU HAI at QIAS2025: Dual-Expert LLM Fine-Tuning and Constrained Decoding for Arabic Islamic Inheritance Reasoning](https://md.research.elamur.ai/free/en/papers/hossain-2025-adapt-mtu-hai-qias2025-dual/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Shehenaz Hossain, Haithem Afli*2025 · 2 citations*
5. **[ADAPT–MTU HAI at PalmX 2025: Leveraging Full and Parameter-Efficient LLM Fine-Tuning for Arabic Cultural QA](https://md.research.elamur.ai/free/en/papers/hossain-2025-adapt-mtu-hai-palmx-2025/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Shehenaz Hossain, Haithem Afli*2025 · 1 citation*
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