SHORT BIOGRAPHY

Jonas Becker is a PhD candidate at the Landeskriminalamt NRW. He 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. Jonas Becker started his M.Sc. at the University of Wuppertal, gaining insights into Paraphrase Detection and Transformers, and then completed 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 Göttingen.

RESEARCH INTERESTS

Jonas Becker’s main research interests are in the area of Natural Language Processing. His core interests strongly overlap with fields such as Collaborative Agents, AI Safety, and Text Generation.

His primary research interest topics are:

• Natural Language Processing
• Multi-Agent Systems
• AI Safety
• Text-Generative Models (Large Language Models)
• Paraphrase Detection (Human- & Machine-Generated)
• 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)