🧑‍🔬 Matthias Samwald

🏛️ Affiliations

🎓Medical University of ViennaVienna · Austria2006–2026 · 133 papersEmploymentcurrent🔬Austrian Research Institute for Artificial IntelligenceVienna · Austria2026 · 1 papercurrent🎓Ollscoil na Gaillimhe – University of GalwayGalway · Ireland2008–2022 · 19 papers🔬Konrad Lorenz Institute for Evolution and Cognition ResearchKlosterneuburg · Austria2009–2010 · 11 papers🎓TU WienVienna · Austria2012–2013 · 7 papers🎓University of ViennaVienna · Austria2008–2022 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Mapping global dynamics of benchmark creation and saturation in artificial intelligence (2022 · 93 citations)
   Benchmarks not only measure progress in AI but also set its direction. At the same time, many of them quickly reach saturation or are barely used. The authors proposed a way to concisely map the emergence, use, and saturation of benchmarks across entire fields. To do this, they took a Papers With Code dump and built…
2. ThoughtSource: A central hub for large language model reasoning data (2023 · 68 citations)
   Large language models often stumble on multi-step reasoning, and their decision process is hard to inspect.

All works

4 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. BLOOM: A 176B-Parameter Open-Access Multilingual Language Model ↗arXiv:2211.05100 · no summary yetBigScience Workshop et al.2022 · 1,606 citations
2. Evaluating the Robustness of Neural Language Models to Input Perturbations ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetMilad Moradi, Matthias Samwald2021 · 115 citations
3. Mapping global dynamics of benchmark creation and saturation in artificial intelligenceNature CommunicationsSimon Ott, Adriano Barbosa-Silva, Kathrin Blagec, et al.2022 · 93 citations
4. ThoughtSource: A central hub for large language model reasoning dataScientific DataSimon Ott, Konstantin Hebenstreit, Valentin Lievin, et al.2023 · 68 citations

🤝 Co-authors here

2 co-authors with a page, the most papers together first.

• Simon Ott ×2
• Jan Brauner

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Nature Communications: Nature Communications 2022
• Scientific Data: Scientific Data 2023
• Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

🔗 Cited by

Papers of our library cite their works 1,406 times (of the 149,439 papers whose bibliographies we read); 300 citing papers with a page here →.

Updated 30 October 2026

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