Robin Schaefer
Robin Schaefer has 2 papers in our library, in 2026, most of them on Evaluation & benchmarks, Language models & pretraining; often with Camilla Dalerci, Daniel Weinland, Thilo Michael.
OpenAlex · ORCID · h-index 5 · 18 works · 70 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 10 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #11656
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksSocial Sciences · 2 worksGeneral Social Sciences · 1 workSafety Research · 1 work
🧭 Topics 2Research subjects and languages the work is about.Evaluation & benchmarks · 2 worksLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- MÖVE: A Holistic LLM Benchmark for the German Public Sector (2026 · 1 citation)
Public administrations in Germany are adopting LLMs, but they usually pick models by hype or by where the vendor is based. - From Global Benchmarks to Local Evaluations: Benchmarking LLMs for the German Public Sector (2026)
Public bodies choosing an LLM get little help from standard leaderboards. Those leaderboards are mostly English-centric and US-oriented, and they rarely look beyond task scores. The authors present first results from MÖVE, a living evaluation framework built for German public administration with input from…
All works
- GerCCT: An Annotated Corpus for Mining Arguments in German Tweets on Climate Change ↗Proceedings of the Thirteenth Language Resources and Evaluation Conference · no summary yetRobin Schaefer, Manfred Stede2022 · 9 citations
- Communicating Climate Change: A Comparison Between Tweets and Speeches by German Members of Parliament ↗Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis · no summary yetRobin Schaefer et al.2023 · 3 citations
- MÖVE: A Holistic LLM Benchmark for the German Public SectorarXiv:2606.13111Camilla Dalerci, Thilo Michael, Robin Schaefer, et al.2026 · 1 citation
- UPAppliedCL at GermEval 2021: Identifying Fact-Claiming and Engaging Facebook Comments Using Transformers ↗Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments · no summary yetRobin Schaefer, Manfred Stede2021 · 1 citation
- From Global Benchmarks to Local Evaluations: Benchmarking LLMs for the German Public SectorarXiv:2608.17827Camilla Dalerci, Thilo Michael, Robin Schaefer, et al.2026
Co-authors here
Venues
- Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis
- Proceedings of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments
- Proceedings of the Thirteenth Language Resources and Evaluation Conference
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