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 in Paraphrase Detection and Transformers, and is now completing his degree in Applied Computer Science (Applied Data Science) at the University of Göttingen with a focus on Natural Language Processing. During his studies, he also worked as a research assistant at the University of Wuppertal and the University of Göttingen.
Jonas Becker’s main research interests are Text-Generative Models and their impact on specific application fields. His core interests strongly overlap with fields such as Paraphrase Detection, Transformer Architecture, and Safe AI.
His primary research interest topics are:
- Natural Language Processing
- Text-Generative Models
- Paraphrase Detection (Human- & Machine-Generated)
- Safe AI & Detection of Machine-Generated Content
- Deep Learning
- Data Science
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
Paraphrase Detection: Human vs. Machine Content
Jonas Becker, Jan Philip Wahle, Terry Ruas, Bela Gipp
arXiv Preprint, 2023
(PDF DOI BibTeX)