---
title: "Who cites AraLegal-BERT: A pretrained — 9 citing papers"
description: "9 papers of the Elamur Research library cite «AraLegal-BERT: A pretrained language model for Arabic Legal text», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/qurishi-2022-aralegal-bert-pretrained-language-model/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [AraLegal-BERT: A pretrained language model for…](https://md.research.elamur.ai/free/en/papers/qurishi-2022-aralegal-bert-pretrained-language-model/) / cited by

# Who cites «AraLegal-BERT: A pretrained language model for Arabic Legal text»

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 «AraLegal-BERT: A pretrained language model for Arabic Legal text»](https://md.research.elamur.ai/free/en/papers/qurishi-2022-aralegal-bert-pretrained-language-model/)

1. **[LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain](https://md.research.elamur.ai/free/en/papers/niklaus-2023-lextreme-multi-lingual-multi-task/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Joel Niklaus, Veton Matoshi, Pooja Rani, et al.*2023 · 123 citations*
2. **[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*
3. **[LexSumm and LexT5: Benchmarking and Modeling Legal Summarization Tasks in English](https://md.research.elamur.ai/free/en/papers/s-2024-lexsumm-lext5-benchmarking-modeling-legal/) [Natural Legal Language Processing Workshop](https://md.research.elamur.ai/free/en/venues/nllp/)**Santosh T.Y.S.S, Cornelius Weiss, Matthias Grabmair*2024 · 16 citations*
4. [**EgyBERT: A Large Language Model Pretrained on Egyptian Dialect Corpora arXiv:2408.03524**Faisal Qarah*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/qarah-2024-egybert-large-language-model-pretrained/)
5. **[ConfliBERT-Arabic: A Pre-trained Arabic Language Model for Politics, Conflicts and Violence](https://md.research.elamur.ai/free/en/papers/alsarra-2023-conflibert-arabic-pre-trained-arabic/) [Recent Advances in Natural Language Processing (RANLP)](https://md.research.elamur.ai/free/en/venues/ranlp/)**Sultan Alsarra, Luay Abdeljaber, Wooseong Yang, et al.*2023 · 8 citations*
6. **[Tokenizers United at QIAS-2025: RAG-Enhanced Question Answering for Islamic Studies by Integrating Semantic Retrieval with Generative Reasoning](https://md.research.elamur.ai/free/en/papers/samy-2025-tokenizers-united-qias-2025-rag/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Mohamed Samy, Mayar Boghdady, Marwan El Adawi, et al.*2025 · 1 citation*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/qurishi-2022-aralegal-bert-pretrained-language-model/) — AraLegal-BERT: A pretrained language model for Arabic Legal text