---
title: "Who cites Weakly and Semi-Supervised — 5 citing papers"
description: "5 papers of the Elamur Research library cite «Weakly and Semi-Supervised Learning for Arabic Text Classification using Monodialectal…"
canonical: "https://research.elamur.ai/free/en/papers/alyami-2022-weakly-semi-supervised-learning-arabic/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Weakly and Semi-Supervised Learning for Arabic…](https://md.research.elamur.ai/free/en/papers/alyami-2022-weakly-semi-supervised-learning-arabic/) / cited by

# Who cites «Weakly and Semi-Supervised Learning for Arabic Text Classification using Monodialectal Language Models»

5 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 «Weakly and Semi-Supervised Learning for Arabic Text Classification using Monodialectal Language Models»](https://md.research.elamur.ai/free/en/papers/alyami-2022-weakly-semi-supervised-learning-arabic/)

1. **[A Survey of Large Language Models for Arabic Language and its Dialects](https://md.research.elamur.ai/free/en/papers/mashaabi-2024-survey-large-language-models-arabic/) [ACM Transactions on Asian and Low-Resource Language Information Processing](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-asian-and-low-resource-language-information-processing/)**Malak Mashaabi, Shahad Al-Khalifa, Hend Al-Khalifa*2024 · 24 citations*
2. [**SaudiBERT: A Large Language Model Pretrained on Saudi Dialect Corpora arXiv:2405.06239**Faisal Qarah*2024 · 14 citations*](https://md.research.elamur.ai/free/en/papers/qarah-2024-saudibert-large-language-model-pretrained/)
3. **[Evaluating Calibration of Arabic Pre-trained Language Models on Dialectal Text](https://md.research.elamur.ai/free/en/papers/laith-2025-evaluating-calibration-arabic-pre-trained/) [Workshop on Arabic Corpus Linguistics](https://md.research.elamur.ai/free/en/venues/wacl/)**Ali Al-Laith, Rachida Kebdani*2025 · 2 citations*
4. [**From FusHa to Folk: Exploring Cross-Lingual Transfer in Arabic Language Models arXiv:2602.09826**Abdulmuizz Khalak, Abderrahmane Issam, Gerasimos Spanakis*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/khalak-2026-fusha-folk-exploring-cross-lingual/)

1 more paper of our library cites it; it has no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/alyami-2022-weakly-semi-supervised-learning-arabic/) — Weakly and Semi-Supervised Learning for Arabic Text Classification using Monodialectal Language Models