--- title: "Who cites AraModernBERT: Transtokenized — 2 citing papers" description: "2 papers of the Elamur Research library cite «AraModernBERT: Transtokenized Initialization and Long-Context Encoder Modeling for Arabic»…" canonical: "https://research.elamur.ai/free/en/papers/elshehy-2026-aramodernbert-transtokenized-initialization-long-context/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/elshehy-2026-aramodernbert-transtokenized-initialization-long-context/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [AraModernBERT: Transtokenized Initialization and…](https://md.research.elamur.ai/free/en/papers/elshehy-2026-aramodernbert-transtokenized-initialization-long-context/) / cited by # Who cites «AraModernBERT: Transtokenized Initialization and Long-Context Encoder Modeling for Arabic» 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 «AraModernBERT: Transtokenized Initialization and Long-Context Encoder Modeling for Arabic»](https://md.research.elamur.ai/free/en/papers/elshehy-2026-aramodernbert-transtokenized-initialization-long-context/) 1. **[NAMAA at SemEval-2026 Task 9: Comparing Generative, Retrieval-Augmented, and Discriminative Methods for Arabic Online Polarization Detection and Type Classification](https://md.research.elamur.ai/free/en/papers/djamai-2026-namaa-semeval-2026-task-9/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Abdelbasset Djamai, Sahara Al-Madi, Norah Al-Zaid, et al.*2026 · 1 citation* 2. [**ARAFA: An LLM-Generated Arabic Fact-Checking Dataset arXiv:2609.25833**Christophe Khalil, Shady Elbassuoni, Rida Assaf*2026*](https://md.research.elamur.ai/free/en/papers/khalil-2026-arafa-llm-generated-arabic-fact/) - [← back to](https://md.research.elamur.ai/free/en/papers/elshehy-2026-aramodernbert-transtokenized-initialization-long-context/) — AraModernBERT: Transtokenized Initialization and Long-Context Encoder Modeling for Arabic