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Amir Hossein Kargaran

Amir Hossein Kargaran has 2 papers in our library, in 2023–2025, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Low-resource languages; often with Bettina Messmer, Colin Raffel, François Yvon.

2 papers in our library · 2023–2025

OpenAlex · ORCID · h-index 3 · 37 works · 36 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 206 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #4600

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

🎓Ludwig-Maximilians-Universität MünchenMunich · Germany2022–2026 · 23 paperscurrent🎓Munich Center for Machine LearningMunich2023–2026 · 9 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 5The 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 work

🧭 Topics 3Research subjects and languages the work is about.Low-resource languages · 1 workLanguage models & pretraining · 1 workMultilingual & cross-lingual NLP · 1 work

 Works by year

2020s

20251 paperFineWeb2: One Pipeline to Scale Them All — Adapting Pre-Training Data Processing to Every Language20231 paperGlotLID: Language Identification for Low-Resource Languages

 Papers

The most cited first (OpenAlex and our library).

  1. GlotLID: Language Identification for Low-Resource Languages (2023 · 115 citations)
    Language identification (LID) tools that work well exist for roughly 300 high- and medium-resource languages.
  2. 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.

All works

4 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. GlotLID: Language Identification for Low-Resource LanguagesFindings of the Association for Computational LinguisticsAmir Hossein Kargaran, Ayyoob Imani, François Yvon, et al.2023 · 115 citations
  2. 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
  3. How Transliterations Improve Crosslingual AlignmentProceedings of the 31st International Conference on Computational Linguistics · original ↗ · no summary yetYihong Liu et al.2025 · 12 citations
  4. Last Translation BenchmarkarXiv:2609.04173 · original ↗ · no summary yetVilem Zouhar et al.2026

 Co-authors here

9 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 206 times (of the 141,840 papers whose bibliographies we read); 20 citing papers with a page here →.

Updated

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