---
title: "Who cites Self-Training Pre-Trained — 9 citing papers"
description: "9 papers of the Elamur Research library cite «Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic…"
canonical: "https://research.elamur.ai/free/en/papers/khalifa-2021-self-training-pre-trained-language/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/khalifa-2021-self-training-pre-trained-language/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Self-Training Pre-Trained Language Models for…](https://md.research.elamur.ai/free/en/papers/khalifa-2021-self-training-pre-trained-language/) / cited by

# Who cites «Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling»

9 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling»](https://md.research.elamur.ai/free/en/papers/khalifa-2021-self-training-pre-trained-language/)

1. [**ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic arXiv:2101.01785 · ACL-2021 camera ready version**Muhammad Abdul-Mageed, AbdelRahim Elmadany, El Moatez Billah Nagoudi*2021 · 478 citations*](https://md.research.elamur.ai/free/en/papers/abdul-mageed-2021-arbert-marbert-deep-bidirectional-transformers/)
2. **[Morphosyntactic Tagging with Pre-trained Language Models for Arabic and its Dialects](https://md.research.elamur.ai/free/en/papers/inoue-2022-morphosyntactic-tagging-pre-trained-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Go Inoue, Salam Khalifa, Nizar Habash*2022 · 58 citations*
3. **[Ar-Spider: Text-to-SQL in Arabic](https://md.research.elamur.ai/free/en/papers/almohaimeed-2024-ar-spider-text-sql-arabic/) [ACM/SIGAPP Symposium on Applied Computing (SAC)](https://md.research.elamur.ai/free/en/venues/acm-sigapp-symposium-on-applied-computing-sac/)**Saleh Almohaimeed, Saad Almohaimeed, Mansour Al Ghanim, et al.*2024 · 13 citations*
4. [**Advancing Dialectal Arabic to Modern Standard Arabic Machine Translation arXiv:2507.20301**Abdullah Alabdullah, Lifeng Han, Chenghua Lin*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/alabdullah-2025-advancing-dialectal-arabic-modern-standard/)
5. **[Investigating Zero-shot Cross-lingual Language Understanding for Arabic](https://md.research.elamur.ai/free/en/papers/alyafeai-2023-investigating-zero-shot-cross-lingual/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Zaid Alyafeai, Moataz Ahmed*2023 · 1 citation*
6. **[Modeling North African Dialects from Standard Languages](https://md.research.elamur.ai/free/en/papers/toughrai-2025-modeling-north-african-dialects-standard/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Yassine Toughrai, Kamel Smaïli, David Langlois*2025*

3 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/khalifa-2021-self-training-pre-trained-language/) — Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence Labeling