Jan Philip Wahle
Doctoral Researcher
RESEARCH INTERESTS
Jan Philip’s current research interests lie in the development of natural language processing systems for paraphrase plagiarism detection based on deep learning models.
His prime interests lie in the areas of
- Deep learning
- Natural language processing
- Paraphrase plagiarism detection
- Paraphrase generation
PARAPHRASE PROJECTS
I am open to student projects in the areas of natural language processing and paraphrasing, especially applied to plagiarism detection. The slides here are projects on which I work. Don’t hesitate to get in touch with me if you are interested and let’s talk!
SHORT CV
10/2022 – present
Ph.D. Student
Chair for Scientific Information Analytics, University of Göttingen
09/2021 – 10/2022
Ph.D. Student
Chair for Data & Knowledge Engineering, University of Wuppertal
07/2020 – 10/2021
Deep Learning Research Engineer
Chair for Data & Knowledge Engineering, University of Wuppertal
10/2019 – 07/2020
Student Researcher
Chair for Data & Knowledge Engineering, University of Wuppertal
10/2018 – 10/2020
Computer Science (Data Analytics), M. Sc.
Chair for Data & Knowledge Engineering, University of Wuppertal
03/2018 – 10/2018
Student Researcher
Parallel Hardware and Software Systems, University of Wuppertal
03/2017 – 10/2018
Junior Software Engineer/Student Trainee
Aptiv PLC Wuppertal, Germany
10/2015 – 10/2018
Information Technology (Information Science), B. Sc.
University of Wuppertal
SELECTED PUBLICATIONS
A complete list of my publications is available here.
Paraphrase Types Elicit Prompt Engineering Capabilities
J. P. Wahle, T. Ruas, Y. Xu, B. Gipp
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP)
(PDF DOI BibTeX)
We are Who We Cite: Bridges of Influence Between Natural Language Processing and Other Academic Fields
J. P. Wahle, T. Ruas, M. Abdalla, B. Gipp, S. M. Mohammad
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)
(PDF DOI BibTeX)
Paraphrase Types for Generation and Detection
J. P. Wahle, T. Ruas, B. Gipp
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)
(PDF DOI BibTeX)
How Large Language Models are Transforming Machine-Paraphrase Plagiarism
J. P. Wahle, T. Ruas, F. Kirstein, B. Gipp
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP)
(PDF DOI BibTeX)
Identifying Machine-Paraphrased Plagiarism
J. P. Wahle, T. Ruas, T. Foltynek, N. Meuschke, B. Gipp
Information for a Better World: Shaping the Global Future – 17th International Conference, iConference 2022.
(PDF DOI BibTeX)
Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection
J. P. Wahle, T. Ruas, N. Meuschke, B. Gipp
ACM/IEEE Joint Conference on Digital Libraries, JCDL 2021, Champaign, IL, USA, September 27-30, 2021
(PDF DOI BibTeX)
