Elamur Research⌕
☰
home / authors / Negar Foroutan

Negar Foroutan

Negar Foroutan has 2 papers in our library, in 2024–2025, most of them on Multilingual & cross-lingual NLP, Language models & pretraining; often with Alfonso Amayuelas, Amir Hossein Kargaran, Angelika Romanou.

2 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 7 · 25 works · 140 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 228 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4791

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

🎓École Polytechnique Fédérale de LausanneLausanne · Switzerland2020–2026 · 18 paperscurrent🎓Shiraz UniversityShiraz · Iran2015–2017 · 6 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Concepts, shelves and topics

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

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 2Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 2 worksLanguage models & pretraining · 1 work

 Works by year

2020s

20251 paperNegar Foroutan's papers of 202520241 paperNegar Foroutan's papers of 2024

 Papers

The most cited first (OpenAlex and our library).

  1. FineWeb2: One Pipeline to Scale Them All — Adapting Pre-Training Data Processing to Every Language (2025 · 97 citations)
    Building strong multilingual LLMs is hard mainly because data-cleaning recipes tuned for English do not transfer well.
  2. INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge (2024 · 73 citations)
    Multilingual LLMs are hard to assess outside English because few evaluation sets exist. Many that do are translated from English, so they carry translation artifacts and ignore local context such as national laws, history or culture. INCLUDE addresses this with a benchmark built from exams written by native speakers…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. FineWeb2: One Pipeline to Scale Them All — Adapting Pre-Training Data Processing to Every LanguagearXiv:2506.20920Guilherme Penedo, Hynek Kydliček, Vinko Sabolčec, et al.2025 · 97 citations
  2. INCLUDE: Evaluating Multilingual Language Understanding with Regional KnowledgearXiv:2411.19799Angelika Romanou, Negar Foroutan, Anna Sotnikova, et al.2024 · 73 citations
  3. Parity-Aware Byte-Pair Encoding: Improving Cross-lingual Fairness in Tokenization ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetNegar Foroutan et al.2026 · 11 citations

 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 228 times (of the 141,840 papers whose bibliographies we read); 24 citing papers with a page here →.

Updated

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