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Carolin Holtermann

Carolin Holtermann has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining, Vision & language, Multilingual & cross-lingual NLP; often with Anne Lauscher, Florian Schneider, Chris Biemann.

2 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 4 · 33 works · 33 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 23 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9004

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

🎓Universität HamburgHamburg · Germany2022–2026 · 26 papersEmployment since 2023 · PhD Candidate, Data Sciencecurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 2 worksVision & language · 2 worksEnglish · 1 workMultilingual & cross-lingual NLP · 1 work

 Works by year

2020s

20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Why do LLaVA Vision-Language Models Reply to Images in English? (2024 · 12 citations)
    LLaVA-style vision-language models often ignore the language of a question and answer in English when an image is attached.
  2. Centurio: On Drivers of Multilingual Ability of Large Vision-Language Model (2025 · 9 citations)
    Most large vision-language models (LVLMs) are trained largely on English. As a result, they often misread non-English instructions, struggle with foreign-language text inside images, and answer in the wrong language. Geigle et al. ask how to compose training data across languages under a fixed budget. They examine…

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. Why do LLaVA Vision-Language Models Reply to Images in English?Findings of the Association for Computational LinguisticsMusashi Hinck, Carolin Holtermann, Matthew Lyle Olson, et al.2024 · 12 citations
  2. Large Language Models Discriminate Against Speakers of German Dialects ↗Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yetMinh Duc Bui et al.2025 · 10 citations
  3. Centurio: On Drivers of Multilingual Ability of Large Vision-Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Gregor Geigle, Florian Schneider, Carolin Holtermann, et al.2025 · 9 citations

 Co-authors here

7 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 23 times (of the 149,439 papers whose bibliographies we read); 12 citing papers with a page here →.

Updated

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