Jan Trienes

Researcher, inovex GmbH

Joined

January 2022

Names

Jan Trienes (Preferred)

Emails

****@uni-due.de (Confirmed)

****@gmail.com (Confirmed)

****@uni-marburg.de (Confirmed)

Personal Links

Career & Education History

Researcher

inovex GmbH (inovex.de)

2026 – Present

PhD student

Phillips-Universität Marburg (uni-marburg.de)

2024 – 2025

PhD student

University of Duisburg-Essen (uni-due.de)

2021 – 2024

PhD student

Institute for AI in Medicine, University Hospital Essen (uk-essen.de)

2021 – 2024

Advisors, Relations & Conflicts

PhD Advisor

Christin Seifert

2021 – 2025

Expertise

natural language generation

2021 – Present

nlp resources

datasets

evaluation

2021 – Present

text summarization

text simplification

2021 – Present

Publications

Behavioral Analysis of Information Salience in Large Language Models
Jan Trienes, Jörg Schlötterer, Junyi Jessy Li, Christin Seifert
- CoRR 2025
- Readers: Everyone
Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis
Jan Trienes, Paul Youssef, Jörg Schlötterer, Christin Seifert
- 02 Feb 2024
- OpenReview Archive Direct Upload
- Readers: Everyone
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding
Ahmad Idrissi-Yaghir, Amin Dada, Henning Schäfer, Kamyar Arzideh, Giulia Baldini, Jan Trienes, Max Hasin, Jeanette Bewersdorff, Cynthia S. Schmidt, Marie Bauer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jörg Schlötterer, Torsten Zesch, Peter A. Horn, Christin Seifert, Felix Nensa, Jens Kleesiek, Christoph M. Friedrich
- LREC/COLING 2024
- Readers: Everyone
InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification
Jan Trienes, Sebastian Joseph, Jörg Schlötterer, Christin Seifert, Kyle Lo, Wei Xu, Byron C. Wallace, Junyi Jessy Li
- Published: 01 Jan 2024, Last Modified: 07 Feb 2024
- CoRR 2024
- Readers: Everyone
FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence
Sebastian Antony Joseph, Lily Chen, Jan Trienes, Hannah Louisa Göke, Monika Coers, Wei Xu, Byron C. Wallace, Junyi Jessy Li
- Published: 01 Jan 2024, Last Modified: 25 Mar 2024
- CoRR 2024
- Readers: Everyone
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
Meike Nauta, Jan Trienes, Shreyasi Pathak, Elisa Nguyen, Michelle Peters, Yasmin Schmitt, Jörg Schlötterer, Maurice van Keulen, Christin Seifert
- Published: 01 Jan 2023, Last Modified: 29 Jan 2024
- ACM Comput. Surv. 2023
- Readers: Everyone
Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis
Jan Trienes, Paul Youssef, Jörg Schlötterer, Christin Seifert
- Published: 01 Jan 2023, Last Modified: 29 Jan 2024
- INLG 2023
- Readers: Everyone
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
Meike Nauta, Jan Trienes, Shreyasi Pathak, Elisa Nguyen, Michelle Peters, Yasmin Schmitt, Jörg Schlötterer, Maurice van Keulen, Christin Seifert
- 2022 (modified: 04 Mar 2022)
- CoRR 2022
- Readers: Everyone
Generating Synthetic Training Data for Supervised De-Identification of Electronic Health Records
Claudia Alessandra Libbi, Jan Trienes, Dolf Trieschnigg, Christin Seifert
- 2021 (modified: 04 Mar 2022)
- Future Internet 2021
- Readers: Everyone
Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records
Jan Trienes, Dolf Trieschnigg, Christin Seifert, Djoerd Hiemstra
- 2020 (modified: 04 Mar 2022)
- CoRR 2020
- Readers: Everyone

View all 14 publications

Co-Authors

View all 40 co-authors