---
title: "Jan Brauner · European Commission — author profile and papers"
description: "Jan Brauner, European Commission: 2 papers on Elamur Research (2022–2023), h-index 19 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/jan-brauner/"
---
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# Jan Brauner

Jan Brauner has 2 papers in our library, in 2022–2023, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Matthias Samwald](https://md.research.elamur.ai/free/en/authors/matthias-samwald/), [Owain Evans](https://md.research.elamur.ai/free/en/authors/owain-evans/), [Simon Ott](https://md.research.elamur.ai/free/en/authors/simon-ott/).

2 papers in our library · 2022–2023

[OpenAlex](https://openalex.org/A5030437398) · [ORCID](https://orcid.org/0000-0002-1588-5724) · [Wikidata](https://www.wikidata.org/wiki/Q104479140) · [**h-index 19**](https://openalex.org/authors/A5030437398) · [41 works](https://openalex.org/works?filter=author.id:A5030437398) · [3,051 citations](https://openalex.org/works?filter=author.id:A5030437398&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jan-brauner/#papers) · [🔗 Cited 468 times in our library](https://md.research.elamur.ai/free/en/authors/jan-brauner/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6514](https://md.research.elamur.ai/free/en/paper-stars/page/66/#star-6514)

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=Jan+Brauner) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jan+Brauner) · [dblp](https://dblp.org/search?q=Jan+Brauner) · [ACL Anthology](https://aclanthology.org/search/?q=Jan+Brauner)

## Affiliations

[🏛️**European Commission** Brussels · Belgium 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/government/european-commission/) · [🎓**University of Oxford** Oxford · United Kingdom 2020–2025 · 25 papers](https://md.research.elamur.ai/free/en/universities/university-of-oxford/) · [🎓**Friedrich-Alexander-Universität Erlangen-Nürnberg** Erlangen · Germany 2013–2017 · 8 papers](https://md.research.elamur.ai/free/en/universities/friedrich-alexander-universitat-erlangen-nurnberg/) · [🎓**Witten/Herdecke University** Witten · Germany 2021–2023 · 4 papers](https://ror.org/00yq55g44)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

## Fields, topics and concepts

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

📚 Shelves 9 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Statistics, Probability and Uncertainty · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/statistics-probability-and-uncertainty/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Social Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/social-psychology/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/)

🧭 Topics 1 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Artificial intelligence · 1 work](https://md.research.elamur.ai/free/en/concepts/artificial-intelligence/)

## Works by year

### 2020s

[**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/jan-brauner/year/2023/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/jan-brauner/year/2022/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Mapping global dynamics of benchmark creation and saturation in artificial intelligence](https://md.research.elamur.ai/free/en/papers/ott-2022-mapping-global-dynamics-benchmark-creation/)** *(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. **[How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions](https://md.research.elamur.ai/free/en/papers/pacchiardi-2023-catch-ai-liar-lie-detection/)** *(2023 · 30 citations)* This work addresses detecting when a large language model gives a false answer even though it demonstrably knows the correct one.

## 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. **[Managing extreme AI risks amid rapid progress ↗](https://doi.org/10.1126/science.adn0117) Science · no summary yet**Yoshua Bengio et al.*2024 · 382 citations*
2. **[Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training ↗](https://arxiv.org/abs/2401.05566) arXiv:2401.05566 · no summary yet**Evan Hubinger et al.*2024 · 123 citations*
3. **[Mapping global dynamics of benchmark creation and saturation in artificial intelligence](https://md.research.elamur.ai/free/en/papers/ott-2022-mapping-global-dynamics-benchmark-creation/) [Nature Communications](https://md.research.elamur.ai/free/en/venues/nature-communications/)**Simon Ott, Adriano Barbosa-Silva, Kathrin Blagec, et al.*2022 · 93 citations*
4. **[Question Decomposition Improves the Faithfulness of Model-Generated Reasoning ↗](https://arxiv.org/abs/2307.11768) arXiv (Cornell University) · no summary yet**Ansh Radhakrishnan et al.*2023 · 74 citations*
5. [**How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions arXiv:2309.15840**Lorenzo Pacchiardi, Alex J. Chan, Soren Mindermann, et al.*2023 · 30 citations*](https://md.research.elamur.ai/free/en/papers/pacchiardi-2023-catch-ai-liar-lie-detection/)

## Co-authors here

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

- [Matthias Samwald](https://md.research.elamur.ai/free/en/authors/matthias-samwald/)
- [Owain Evans](https://md.research.elamur.ai/free/en/authors/owain-evans/)
- [Simon Ott](https://md.research.elamur.ai/free/en/authors/simon-ott/)
- [Yarin Gal](https://md.research.elamur.ai/free/en/authors/yarin-gal/)

## Venues

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

- [Nature Communications](https://md.research.elamur.ai/free/en/venues/nature-communications/): [Nature Communications 2022](https://md.research.elamur.ai/free/en/venues/nature-communications/2022/)
- Science

## Cited by

Papers of our library cite their works 468 times (of the 149,439 papers whose bibliographies we read); [86 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jan-brauner/cited-by/).

Updated 30 October 2026
