SHORT BIOGRAPHY

Jonas Becker completed his B.Sc. in Computer Science at the University of Wuppertal. During this time he gathered experience in cross-document coreference resolution with respect to media bias. He started his M.Sc. at the University of Wuppertal, gaining insights into Paraphrase Detection and Transformers, and is now completing his degree in Applied Computer Science at the University of Göttingen with a focus on Natural Language Processing. During his studies, he also worked as a research assistant at both the University of Wuppertal and the University of Göttingen.

RESEARCH INTERESTS

Jonas Becker’s main research interests are Text-Generative Models and their impact on various application fields. His core interests strongly overlap with fields such as Paraphrase Detection, Multi-Agent Systems, and Safe AI.

His primary research interest topics are:

• Natural Language Processing
• Text-Generative Models
• Multi-Agent Systems
• Paraphrase Detection (Human- & Machine-Generated)
• Safe AI & Detection of Machine-Generated Content
• Deep Learning
• Data Science

SHORT CV

04/2022 – present

Applied Computer Science, M.Sc.
University of Wuppertal and since 2023 at the University of Göttingen, Germany

10/2017 – 03/2022

Computer Science, B.Sc.
University of Wuppertal, Germany

SELECTED PUBLICATIONS

Google Scholar

Text Generation: A Systematic Literature Review of Tasks, Evaluation, and Challenges
Jonas Becker, Jan Philip Wahle, Bela Gipp, Terry Ruas
arXiv Preprint, 2024
(PDF  DOI  BibTeX)

Paraphrase Detection: Human vs. Machine Content
Jonas Becker, Jan Philip Wahle, Terry Ruas, Bela Gipp
arXiv Preprint, 2023
(PDF  DOI  BibTeX)