--- title: "Julia Wunderle — author profile and papers — Elamur Research" description: "Julia Wunderle: 2 papers on Elamur Research (2025–2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/julia-wunderle/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/julia-wunderle/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Julia Wunderle # Julia Wunderle Julia Wunderle has 2 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Andreas Hotho](https://md.research.elamur.ai/free/en/authors/andreas-hotho/), [Jan Pfister](https://md.research.elamur.ai/free/en/authors/jan-pfister/), [Fotis Jannidis](https://md.research.elamur.ai/free/en/authors/fotis-jannidis/). 2 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5106007211) · [**h-index 0**](https://openalex.org/authors/A5106007211) · [5 works](https://openalex.org/works?filter=author.id:A5106007211) · [0 citations](https://openalex.org/works?filter=author.id:A5106007211&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/julia-wunderle/#papers) · [🔗 Cited 21 times in our library](https://md.research.elamur.ai/free/en/authors/julia-wunderle/cited-by/) · [⭐ Paper Stars ranking: #8946](https://md.research.elamur.ai/free/en/paper-stars/page/90/#star-8946) 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=Julia+Wunderle) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Julia+Wunderle) · [dblp](https://dblp.org/search?q=Julia+Wunderle) · [ACL Anthology](https://aclanthology.org/search/?q=Julia+Wunderle) ## Affiliations [🎓**University of Würzburg** Würzburg · Germany 2024–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-wurzburg/) 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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/julia-wunderle/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/julia-wunderle/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[LLäMmlein: Transparent, Compact and Competitive German-Only Language Models from Scratch](https://md.research.elamur.ai/free/en/papers/pfister-2025-llammlein-transparent-compact-competitive-german/)** *(2025 · 15 citations)* German has few large language models that are built only on German data and documented openly. Most German-capable systems are multilingual or adapted from English, and they say little about their training corpora. The authors close this gap with LLäMmlein, a family of German-only decoder models with 120M and 1B… 2. **[New Encoders for German Trained from Scratch: Comparing ModernGBERT with Converted LLM2Vec Models](https://md.research.elamur.ai/free/en/papers/wunderle-2026-new-encoders-german-trained-scratch/)** *(2026 · 7 citations)* German NLP still relies heavily on encoder models for classification, tagging and embedding tasks, yet few modern, transparent German encoders exist, and none of them support long inputs. ## Co-authors here 3 co-authors with a page, the most papers together first. - [Andreas Hotho](https://md.research.elamur.ai/free/en/authors/andreas-hotho/) ×2 - [Jan Pfister](https://md.research.elamur.ai/free/en/authors/jan-pfister/) ×2 - [Fotis Jannidis](https://md.research.elamur.ai/free/en/authors/fotis-jannidis/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/): [LREC 2026](https://md.research.elamur.ai/free/en/venues/lrec/2026/) ## Cited by Papers of our library cite their works 21 times (of the 149,439 papers whose bibliographies we read); [7 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/julia-wunderle/cited-by/). Updated 30 October 2026