---
title: "Who cites ATHAR: A High-Quality and — 4 citing papers"
description: "4 papers of the Elamur Research library cite «ATHAR: A High-Quality and Diverse Dataset for Classical Arabic to English Translation», found…"
canonical: "https://research.elamur.ai/free/en/papers/mohammed-2025-athar-high-quality-diverse-dataset/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/mohammed-2025-athar-high-quality-diverse-dataset/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [ATHAR: A High-Quality and Diverse Dataset for…](https://md.research.elamur.ai/free/en/papers/mohammed-2025-athar-high-quality-diverse-dataset/) / cited by

# Who cites «ATHAR: A High-Quality and Diverse Dataset for Classical Arabic to English Translation»

4 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «ATHAR: A High-Quality and Diverse Dataset for Classical Arabic to English Translation»](https://md.research.elamur.ai/free/en/papers/mohammed-2025-athar-high-quality-diverse-dataset/)

1. [**Jais 2: A Family of Arabic-Centric Open Large Language Models arXiv:2608.13580**Mohamed Anwar, Abed Alhakim Freihat, George Ibrahim, et al.*2026 · 14 citations*](https://md.research.elamur.ai/free/en/papers/anwar-2026-jais-2-family-arabic-centric/)
2. **[MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMs](https://md.research.elamur.ai/free/en/papers/alyafeai-2025-mole-metadata-extraction-validation-scientific/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zaid Alyafeai, Maged S. Al-shaibani, Bernard Ghanem*2025 · 10 citations*
3. [**ASCAT: An Arabic Scientific Corpus and Benchmark for Advanced Translation Evaluation arXiv:2604.00015**Serry Sibaee, Khloud Al Jallad, Zineb Yousfi, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sibaee-2026-ascat-arabic-scientific-corpus-benchmark/)
4. **[ASCAT: Arabic Scientific Benchmark for Advanced Translation Evaluation](https://md.research.elamur.ai/free/en/papers/sibaee-2026-ascat-arabic-scientific-benchmark-advanced/) [Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks](https://md.research.elamur.ai/free/en/venues/osact/)**Serry Sibaee, Khloud Al Jallad, Zineb Yousfi, et al.*2026*
- [← back to](https://md.research.elamur.ai/free/en/papers/mohammed-2025-athar-high-quality-diverse-dataset/) — ATHAR: A High-Quality and Diverse Dataset for Classical Arabic to English Translation