Jan Philip Wahle

Orcid: 0000-0002-2116-9767

Affiliations:
  • University of Göttingen, Germany
  • University of Wuppertal, Germany (former)


According to our database1, Jan Philip Wahle authored at least 17 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Citation Amnesia: NLP and Other Academic Fields Are in a Citation Age Recession.
CoRR, 2024

Text-Guided Image Clustering.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
Paraphrase Detection: Human vs. Machine Content.
CoRR, 2023

A Cohesive Distillation Architecture for Neural Language Models.
CoRR, 2023

AI Usage Cards: Responsibly Reporting AI-Generated Content.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2023

We are Who We Cite: Bridges of Influence Between Natural Language Processing and Other Academic Fields.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Paraphrase Types for Generation and Detection.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

The Elephant in the Room: Analyzing the Presence of Big Tech in Natural Language Processing Research.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Analyzing Multi-Task Learning for Abstractive Text Summarization.
CoRR, 2022

CS-Insights: A System for Analyzing Computer Science Research.
CoRR, 2022

How Large Language Models are Transforming Machine-Paraphrased Plagiarism.
CoRR, 2022

D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Identifying Machine-Paraphrased Plagiarism.
Proceedings of the Information for a Better World: Shaping the Global Future - 17th International Conference, iConference 2022, Virtual Event, February 28, 2022

Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection.
Proceedings of the Information for a Better World: Shaping the Global Future - 17th International Conference, iConference 2022, Virtual Event, February 28, 2022

How Large Language Models are Transforming Machine-Paraphrase Plagiarism.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Incorporating Word Sense Disambiguation in Neural Language Models.
CoRR, 2021

Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2021


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