Matthias Samwald

Associate Professor, Institute of Artificial Intelligence, Medical University of Vienna

Joined

June 2021

Names

Matthias Samwald (Preferred)

Emails

****@meduniwien.ac.at (Confirmed)

Personal Links

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Career & Education History

Associate Professor

Institute of Artificial Intelligence, Medical University of Vienna (meduniwien.ac.at)

Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Benchmark datasets driving artificial intelligence development fail to capture the needs of medical professionals
Kathrin Blagec, Wolfgang Frühwirt, Matthias Samwald
- Journal of Biomedical Informatics
- Readers: Everyone
TRIAGE: Ethical Benchmarking of AI Models Through Mass Casualty Simulations
Nathalie Maria Kirch, Konstantin Hebenstreit, Matthias Samwald
- GenAI4Health Poster
- Readers: Everyone
A collection of principles for guiding and evaluating large language models
Konstantin Hebenstreit, Robert Praas, Matthias Samwald
- SoLaR Poster
- Readers: Everyone
CSMeD: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature Reviews
Wojciech Kusa, Oscar E. Mendoza, Matthias Samwald, Petr Knoth, Allan Hanbury
- NeurIPS 2023 Datasets and Benchmarks Poster
- Readers: Everyone
BigBio: A Framework for Data-Centric Biomedical Natural Language Processing
Jason Alan Fries, Leon Weber, Natasha Seelam, Gabriel Altay, Debajyoti Datta, Samuele Garda, Myungsun Kang, Ruisi Su, Wojciech Kusa, Samuel Cahyawijaya, Fabio Barth, Simon Ott, Matthias Samwald, Stephen Bach, Stella Biderman, Mario Sänger, Bo Wang, Alison Callahan, Daniel León Periñán, Théo Gigant et al. (23 additional authors not shown)
- Published: 17 Sept 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Datasets and Benchmarks
- Readers: Everyone
Dataset Debt in Biomedical Language Modeling
Jason Alan Fries, Natasha Seelam, Gabriel Altay, Leon Weber, Myungsun Kang, Debajyoti Datta, Ruisi Su, Samuele Garda, Bo Wang, Simon Ott, Matthias Samwald, Wojciech Kusa
- Published: 09 Apr 2022, Last Modified: 05 May 2023
- BigScience#5
- Readers: Everyone
SAFRAN: An interpretable, rule-based link prediction method outperforming embedding models
Simon Ott, Christian Meilicke, Matthias Samwald
- Published: 31 Aug 2021, Last Modified: 08 Feb 2026
- AKBC 2021
- Readers: Everyone

Co-Authors

View all 51 co-authors

Matthias Samwald

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Benchmark datasets driving artificial intelligence development fail to capture the needs of medical professionals

TRIAGE: Ethical Benchmarking of AI Models Through Mass Casualty Simulations

A collection of principles for guiding and evaluating large language models

CSMeD: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature Reviews

BigBio: A Framework for Data-Centric Biomedical Natural Language Processing

Dataset Debt in Biomedical Language Modeling

SAFRAN: An interpretable, rule-based link prediction method outperforming embedding models

Co-Authors