---
title: "Who cites AraLingBench: A — 2 citing papers — Elamur Research"
description: "2 papers of the Elamur Research library cite «AraLingBench: A Human-Annotated Benchmark for Evaluating Arabic Linguistic Capabilities of…"
canonical: "https://research.elamur.ai/free/en/papers/zbib-2026-aralingbench-human-annotated-benchmark-evaluating/cited-by/"
---
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# Who cites «AraLingBench: A Human-Annotated Benchmark for Evaluating Arabic Linguistic Capabilities of Large Language Models»

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 «AraLingBench: A Human-Annotated Benchmark for Evaluating Arabic Linguistic Capabilities of Large Language Models»](https://md.research.elamur.ai/free/en/papers/zbib-2026-aralingbench-human-annotated-benchmark-evaluating/)

1. [**Fanar 2.0: Arabic Generative AI Stack arXiv:2603.16397**FANAR TEAM, Ummar Abbas, Mohammad Shahmeer Ahmad, et al.*2026 · 11 citations*](https://md.research.elamur.ai/free/en/papers/team-2026-fanar-2-0-arabic-generative/)
2. [**Why Current XAI Is Not Enough for Arabic NLP: A Critical Survey of the Explainability Gap arXiv:2608.26144**Salima Lamsiyah, Ruslan Mitkov*2026*](https://md.research.elamur.ai/free/en/papers/lamsiyah-2026-why-current-xai-enough-arabic/)
- [← back to](https://md.research.elamur.ai/free/en/papers/zbib-2026-aralingbench-human-annotated-benchmark-evaluating/) — AraLingBench: A Human-Annotated Benchmark for Evaluating Arabic Linguistic Capabilities of Large Language Models