Elamur Research⌕
☰
home / authors / Sunyam Bagga

Sunyam Bagga

Sunyam Bagga has 2 papers in our library, in 2022, most of them on Language models & pretraining, Evaluation & benchmarks, Semitic languages; often with Abbas Ghaddar, Ahmad Rashid, Baoxing Huai.

2 papers in our library · 2022

OpenAlex · ORCID · h-index 5 · 21 works · 59 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 13 times in our library · ⭐ Paper Stars ranking: #8248

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

🎓McGill UniversityMontreal · Canada2021–2025 · 5 paperscurrent🏢Huawei TechnologiesShenzhen · China2022–2024 · 3 papers

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

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 3Research subjects and languages the work is about.Evaluation & benchmarks · 2 worksLanguage models & pretraining · 2 worksSemitic languages · 2 works

 Works by year

2020s

20222 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Processing (2022 · 27 citations)
    The authors argue that Arabic pre-trained language models have been built and compared carelessly. Newer pre-training practices were rarely tried, and most published comparisons skip hyperparameter search, repeated runs and hidden test sets. They address both problems. They assembled a 514GB Arabic corpus from Common…
  2. Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Understanding (2022 · 9 citations)
    The authors argue that Arabic pre-trained language models have not kept pace with English and Chinese for two reasons: pre-training recipes have barely been tuned, and evaluation is rarely systematic or reproducible.

 Co-authors here

12 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 13 times (of the 149,439 papers whose bibliographies we read); 12 citing papers with a page here →.

Updated

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