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Konstantin Dobler

Konstantin Dobler has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Semitic languages; often with Gerard de Melo.

2 papers in our library · 2023–2024

OpenAlex · h-index 2 · 15 works · 16 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 58 times in our library · ⭐ Paper Stars ranking: #8728

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

🔬Hasso Plattner InstitutePotsdam · Germany2022–2026 · 6 paperscurrent🎓University of PotsdamPotsdam · Germany2022–2024 · 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 4Research subjects and languages the work is about.Language models & pretraining · 1 workMultilingual & cross-lingual NLP · 1 workSemitic languages · 1 workTokenization & segmentation · 1 work

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual Models (2023 · 62 citations)
    Adapting a multilingual model to one language often calls for a new tokenizer tailored to that language. The pretrained embedding matrix then no longer fits the new vocabulary. The authors propose FOCUS (Fast Overlapping Token Combinations Using Sparsemax) to build a sensible starting embedding matrix for the new…
  2. Language Adaptation on a Tight Academic Compute Budget: Tokenizer Swapping Works and Pure bfloat16 Is Enough (2024)
    The paper asks whether an academic lab with only a handful of server-grade GPUs and a few days of access can usefully adapt a 7B LLM to a new language through continued pretraining.

 Co-authors here

1 co-author 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 58 times (of the 149,439 papers whose bibliographies we read); 7 citing papers with a page here →.

Updated

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