--- title: "Who cites ADAPT–MTU HAI at QIAS2025: — 2 citing papers" description: "2 papers of the Elamur Research library cite «ADAPT–MTU HAI at QIAS2025: Dual-Expert LLM Fine-Tuning and Constrained Decoding for…" canonical: "https://research.elamur.ai/free/en/papers/hossain-2025-adapt-mtu-hai-qias2025-dual/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/hossain-2025-adapt-mtu-hai-qias2025-dual/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [ADAPT–MTU HAI at QIAS2025: Dual-Expert LLM…](https://md.research.elamur.ai/free/en/papers/hossain-2025-adapt-mtu-hai-qias2025-dual/) / cited by # Who cites «ADAPT–MTU HAI at QIAS2025: Dual-Expert LLM Fine-Tuning and Constrained Decoding for Arabic Islamic Inheritance Reasoning» 2 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «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/) 1. [**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/) 2. **[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* - [← back to](https://md.research.elamur.ai/free/en/papers/hossain-2025-adapt-mtu-hai-qias2025-dual/) — ADAPT–MTU HAI at QIAS2025: Dual-Expert LLM Fine-Tuning and Constrained Decoding for Arabic Islamic Inheritance Reasoning