Jan Philip Wahle

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	All	Since 2018
Citations	113	113
h-index	6	6
i10-index	5	5

2021202220237 45 61

Co-authors

Bela GippProfessor at the University of Göttingen. Prev.: UC Berkeley, NII Tokyo, Konstanz, BUWVerified email at uni-goettingen.de
Terry RuasUniversity of Göttingen (Prev: Uni. of Michigan, NII Tokyo, Uni. of Wuppertal, UFABC)Verified email at uni-goettingen.de
Norman MeuschkeUniversity of Göttingen (Previously: UC Berkeley, NII Tokyo, Univ. of Konstanz, Univ. of Wuppertal)Verified email at uni-goettingen.de
Saif M. MohammadSenior Research Scientist (Emotions and Language, Affective Science, NLP), National Research CouncilVerified email at nrc-cnrc.gc.ca
Frederic KirsteinResearcher @ University of Göttingen and Mercedes-BenzVerified email at gipplab.org
Tirthankar GhosalScientist (NLP/AI)Verified email at acm.org
Tomáš FoltýnekMasaryk UniversityVerified email at fi.muni.cz
Nischal Ashok KumarUniversity of Massachusetts AmherstVerified email at cs.umass.edu
Mohamed AbdallaUniversity of TorontoVerified email at mail.utoronto.ca
Aurelie NeveolCNRSVerified email at limsi.fr
Jonas BeckerUniversity of GöttingenVerified email at stud.uni-goettingen.de

Jan Philip Wahle

University of Göttingen, NRC Canada

Verified email at uni-goettingen.de - Homepage

Natural Language Processing Paraphrasing Machine Learning Scientometrics


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Are neural language models good plagiarists? A benchmark for neural paraphrase detection JP Wahle, T Ruas, N Meuschke, B Gipp 2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 226-229, 2021	30*	2021
Identifying machine-paraphrased plagiarism JP Wahle, T Ruas, T Foltýnek, N Meuschke, B Gipp Information for a Better World: Shaping the Global Future: 17th …, 2022	27	2022
Testing the generalization of neural language models for COVID-19 misinformation detection JP Wahle, N Ashok, T Ruas, N Meuschke, T Ghosal, B Gipp Information for a Better World: Shaping the Global Future: 17th …, 2022	14	2022
How Large Language Models are Transforming Machine-Paraphrase Plagiarism JP Wahle, T Ruas, F Kirstein, B Gipp Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022	12	2022
Incorporating Word Sense Disambiguation in Neural Language Models JP Wahle, T Ruas, N Meuschke, B Gipp arXiv preprint arXiv:2106.07967, 2021	10	2021
D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research JP Wahle, T Ruas, S Mohammad, B Gipp Proceedings of the Thirteenth Language Resources and Evaluation Conference …, 2022	7	2022
Analyzing Multi-Task Learning for Abstractive Text Summarization F Kirstein, JP Wahle, T Ruas, B Gipp Proceedings of the 2nd Workshop on Natural Language Generation, Evaluation …, 2022	4	2022
Ai usage cards: Responsibly reporting ai-generated content JP Wahle, T Ruas, SM Mohammad, N Meuschke, B Gipp arXiv preprint arXiv:2303.03886, 2023	3	2023
CS-Insights: A System for Analyzing Computer Science Research T Ruas, JP Wahle, L Küll, SM Mohammad, B Gipp arXiv preprint arXiv:2210.06878, 2022	3	2022
The Elephant in the Room: Analyzing the Presence of Big Tech in Natural Language Processing Research M Abdalla, JP Wahle, T Ruas, A Névéol, F Ducel, SM Mohammad, K Fort Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023	1	2023
Paraphrase Detection: Human vs. Machine Content J Becker, JP Wahle, T Ruas, B Gipp arXiv preprint arXiv:2303.13989, 2023	1	2023
A Cohesive Distillation Architecture for Neural Language Models JP Wahle arXiv preprint arXiv:2301.08130, 2023	1	2023

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