--- title: "Jan Ebert — author profile and papers" description: "Jan Ebert, Technische Universität Dresden: 2 papers on Elamur Research (2024–2026), h-index 4 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/jan-ebert/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jan-ebert/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jan Ebert # Jan Ebert Jan Ebert has 2 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Low-resource languages](https://md.research.elamur.ai/free/en/topics/low-resource-languages/); often with [Annika Simonsen](https://md.research.elamur.ai/free/en/authors/annika-simonsen/), [Hafsteinn Einarsson](https://md.research.elamur.ai/free/en/authors/hafsteinn-einarsson/), [Johannes Leveling](https://md.research.elamur.ai/free/en/authors/johannes-leveling/). 2 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5024837698) · [ORCID](https://orcid.org/0000-0001-7118-0481) · [**h-index 4**](https://openalex.org/authors/A5024837698) · [33 works](https://openalex.org/works?filter=author.id:A5024837698) · [115 citations](https://openalex.org/works?filter=author.id:A5024837698&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [2 works in our library](https://md.research.elamur.ai/free/en/authors/jan-ebert/#papers) · [72 citations in our library](https://md.research.elamur.ai/free/en/authors/jan-ebert/cited-by/) · [⭐ Paper Star rank #4138](https://md.research.elamur.ai/free/en/paper-stars/page/42/#star-4138) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Jan+Ebert) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jan+Ebert) · [dblp](https://dblp.org/search?q=Jan+Ebert) · [ACL Anthology](https://aclanthology.org/search/?q=Jan+Ebert) ## Affiliations [🎓**Technische Universität Dresden** Dresden · Germany 2009–2026 · 10 papers*current*](https://md.research.elamur.ai/free/en/universities/technische-universitat-dresden/) · [🔬**Forschungszentrum Jülich** Jülich · Germany 2021–2025 · 9 papers](https://md.research.elamur.ai/free/en/labs/forschungszentrum-julich/) · [🔬**Jülich Supercomputing Centre** Jülich · Germany 2021–2024 · 5 papers](https://ror.org/04g2j9721) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Topics [Language models & pretraining (2)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Multilingual & cross-lingual NLP (1)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Low-resource languages (1)](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Tokenization & segmentation (1)](https://md.research.elamur.ai/free/en/topics/tokenization/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/papers/stenlund-2026-synthetic-instruction-generation-low-resource/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/papers/ali-2024-tokenizer-choice-llm-training-negligible/) ## Papers The most cited first (OpenAlex and our library). 1. **[Tokenizer Choice For LLM Training: Negligible or Crucial?](https://md.research.elamur.ai/free/en/papers/ali-2024-tokenizer-choice-llm-training-negligible/)** *(2024 · 102 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. **[Synthetic Instruction Generation for Low-Resource Nordic Languages: Viability and Limitations in LLM Instruction-Tuning](https://md.research.elamur.ai/free/en/papers/stenlund-2026-synthetic-instruction-generation-low-resource/)** *(2026)* Instruction-tuning needs many instruction–response pairs, but having native speakers write instructions is expensive for smaller languages. ## Co-authors here 6 co-authors with a page, the most papers together first. - [Annika Simonsen](https://md.research.elamur.ai/free/en/authors/annika-simonsen/) - [Hafsteinn Einarsson](https://md.research.elamur.ai/free/en/authors/hafsteinn-einarsson/) - [Johannes Leveling](https://md.research.elamur.ai/free/en/authors/johannes-leveling/) - [Klaudia Thellmann](https://md.research.elamur.ai/free/en/authors/klaudia-thellmann/) - [Lars Bungum](https://md.research.elamur.ai/free/en/authors/lars-bungum/) - [Mathias Stenlund](https://md.research.elamur.ai/free/en/authors/mathias-stenlund/) ## Cited by Papers of our library cite their works 72 times (of the 140,884 papers whose bibliographies we read); [10 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jan-ebert/cited-by/).