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Simon Ott

Simon Ott has 2 papers in our library, in 2022–2023, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Matthias Samwald, Jan Brauner.

2 papers in our library · 2022–2023

OpenAlex · ORCID · Wikidata · h-index 9 · 21 works · 1,305 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1,360 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6070

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

🏢Robert BoschStuttgart · Germany2025 · 1 papercurrent🎓Medical University of ViennaVienna · Austria2019–2023 · 17 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.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksDecision Sciences · 1 workArts and Humanities · 1 workStatistics, Probability and Uncertainty · 1 workLanguage and Linguistics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Evaluation & benchmarks · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Artificial intelligence · 1 work

 Works by year

2020s

20231 paper20221 paper

 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

3 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. Mapping global dynamics of benchmark creation and saturation in artificial intelligenceNature CommunicationsSimon Ott, Adriano Barbosa-Silva, Kathrin Blagec, et al.2022 · 93 citations
  3. 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.

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 1,360 times (of the 149,439 papers whose bibliographies we read); 294 citing papers with a page here →.

Updated

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