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Rene Peinl

Rene Peinl has 2 papers in our library, in 2025, most of them on Evaluation & benchmarks, Vision & language; often with Vincent Tischler.

2 papers in our library · 2025

OpenAlex · ORCID · h-index 11 · 70 works · 671 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 8 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #10589

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

🎓Hof University of Applied SciencesHof · Germany2011–2026 · 39 paperscurrent🎓Martin Luther University Halle-WittenbergHalle · Germany2002–2006 · 1 paperEducation 2002–2006 · PhD, Business Information Systems🎓University of RegensburgRegensburg · Germany1996–2000Education 1996–2000 · Diploma, Business Information Systems

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 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Evaluation & benchmarks · 1 workVision & language · 1 work

 Works by year

2020s

20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. VLM@school — Evaluation of AI image understanding on German middle school knowledge (2025 · 3 citations)
    Peinl and Tischler argue that common VLM benchmarks have several weaknesses. They are mostly in English, they rely heavily on multiple choice, and they often contain items a model can solve from the text alone. As a test of everyday competence, they build a German benchmark from middle-school material (grades 8–10…
  2. Benchmarking Vision Language Models on German Factual Data (2025 · 2 citations)
    Vision language models (VLMs) are trained mostly on English and Chinese material, so even a well-resourced language like German may be served poorly.

All works

5 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. HUI-Audio-Corpus-German: A high quality TTS dataset ↗arXiv:2106.06309 · no summary yetPascal Puchtler, Johannes Wirth, Rene Peinl2021 · 30 citations
  2. VLM@school — Evaluation of AI image understanding on German middle school knowledgeLecture notes in networks and systemsRene Peinl, Vincent Tischler2025 · 3 citations
  3. ASR in German: A Detailed Error Analysis ↗arXiv:2204.05617 · no summary yetJohannes Wirth, Rene Peinl2022 · 3 citations
  4. Benchmarking Vision Language Models on German Factual DataarXiv:2504.11108Rene Peinl, Vincent Tischler2025 · 2 citations
  5. ASR Bundestag: A Large-Scale political debate dataset in German ↗arXiv:2302.06008 · no summary yetJohannes Wirth, Rene Peinl2023 · 2 citations

 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 8 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/rene-peinl/