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Richard Rutmann

Richard Rutmann has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Tokenization & segmentation; often with Abbas Goher Khan, Jan Ebert, Johannes Leveling.

2 papers in our library · 2024–2026

OpenAlex · h-index 3 · 10 works · 41 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 75 times in our library · ⭐ Paper Stars ranking: #6742

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

🔬Fraunhofer Institute for Intelligent Analysis and Information SystemsSankt Augustin · Germany2023–2026 · 7 paperscurrent🔬Lamarr Institute for Machine Learning and Artificial IntelligenceSankt Augustin · Germany2023–2025 · 5 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 2 worksMultilingual & cross-lingual NLP · 1 workTokenization & segmentation · 1 workEnglish · 1 work

💡 Concepts 2Key ideas and methods explained on our concept pages.Subword tokenization · 1 workTokenization · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Tokenizer Choice For LLM Training: Negligible or Crucial? (2024 · 104 citations)
    Tokenizers are rarely examined when building LLMs. This paper asks whether the choice of tokenizer measurably affects decoder-only model quality and training cost, in both English-only and multilingual settings. The authors built two training corpora of 70B words each, with matched domain mixtures (80% web-crawled…
  2. A Sovereign, Open-Source Foundation Model for German and English (2026 · 2 citations)
    Soofi S 30B-A3B is a German–English base model built by a German research consortium. It targets three weaknesses of current open models: releases that share weights but hide how they were made, thin coverage of German in multilingual models, and the high serving cost of dense Transformers at long context. The team…

 Co-authors here

11 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 75 times (of the 149,439 papers whose bibliographies we read); 27 citing papers with a page here →.

Updated

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