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Fady Baly

Fady Baly has 3 papers in our library, in 2020–2021, most of them on Semitic languages, Language models & pretraining, Text generation; often with Hazem Hajj, Wissam Antoun.

3 papers in our library · 2020–2021

OpenAlex · h-index 5 · 7 works · 803 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 773 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #1657

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓American University of BeirutBeirut · Lebanon2016–2020 · 3 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 works

🧭 Topics 4Research subjects and languages the work is about.Semitic languages · 3 worksMultilingual & cross-lingual NLP · 1 workLanguage models & pretraining · 1 workText generation · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Transformer and attention · 1 work

 Works by year

2020s

20212 papersFady Baly's papers of 202120201 paperAraBERT: Transformer-based Model for Arabic Language Understanding

 Papers

The most cited first (OpenAlex and our library).

  1. AraBERT: Transformer-based Model for Arabic Language Understanding (2020 · 1,302 citations)
    Arabic has rich morphology, limited NLP resources and little in common with Latin-script languages. As a result, multilingual models such as Google's multilingual BERT represent it poorly. The authors address this by training a BERT model only on Arabic, called AraBERT. It uses the standard BERT-base architecture and…
  2. AraELECTRA: Pre-Training Text Discriminators for Arabic Language Understanding (2021 · 97 citations)
    Earlier Arabic pretrained encoders, including AraBERT, Arabic-BERT and ARBERT, all relied on masked language modeling.
  3. AraGPT2: Pre-Trained Transformer for Arabic Language Generation (2021 · 79 citations)
    Arabic NLP had strong pre-trained models for understanding tasks, mostly masked-LM encoders such as AraBERT, but lacked a capable generative model.

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. AraBERT: Transformer-based Model for Arabic Language UnderstandingarXiv:2003.00104Wissam Antoun, Fady Baly, Hazem Hajj2020 · 1,302 citations
  2. AraELECTRA: Pre-Training Text Discriminators for Arabic Language UnderstandingArabic Natural Language Processing Workshop (WANLP)Wissam Antoun, Fady Baly, Hazem Hajj2021 · 97 citations
  3. AraGPT2: Pre-Trained Transformer for Arabic Language GenerationArabic Natural Language Processing Workshop (WANLP)Wissam Antoun, Fady Baly, Hazem Hajj2021 · 79 citations
  4. Multi-Task Learning using AraBert for Offensive Language DetectionProceedings of the 4th Workshop on Open-Source Arabic Corpora and Processing Tools, with a Shared Task on Offensive Language Detection · original ↗ · no summary yetMarc Djandji et al.2020 · 42 citations

 Co-authors here

2 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 773 times (of the 141,840 papers whose bibliographies we read); 190 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/fady-baly/