activity
20232025
most citedParaphrase Detection: Human vs. Machine Content

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2025

Overview of the Plagiarism Detection Task at PAN 2025

André Greiner-Petter, Maik Fröbe, Jan Philip Wahle +4

The generative plagiarism detection task at PAN 2025 aims at identifying automatically generated textual plagiarism in scientific articles and aligning them with their respective s…

cs.DL2024

CiteAssist: A System for Automated Preprint Citation and BibTeX Generation

Lars Benedikt Kaesberg, Terry Ruas, Jan Philip Wahle +1

We present CiteAssist, a system to automate the generation of BibTeX entries for preprints, streamlining the process of bibliographic annotation. Our system extracts metadata, such…

cs.LG2024

Text-Guided Image Clustering

Andreas Stephan, Lukas Miklautz, Kevin Sidak +4

Image clustering divides a collection of images into meaningful groups, typically interpreted post-hoc via human-given annotations. Those are usually in the form of text, begging t…

cs.CL20231 cited

Paraphrase Detection: Human vs. Machine Content

Jonas Becker, Jan Philip Wahle, Terry Ruas +1

The growing prominence of large language models, such as GPT-4 and ChatGPT, has led to increased concerns over academic integrity due to the potential for machine-generated content…

cs.CY20231 cited

AI Usage Cards: Responsibly Reporting AI-generated Content

Jan Philip Wahle, Terry Ruas, Saif M. Mohammad +2

Given AI systems like ChatGPT can generate content that is indistinguishable from human-made work, the responsible use of this technology is a growing concern. Although understandi…

cs.CL2023

A Cohesive Distillation Architecture for Neural Language Models

Jan Philip Wahle

A recent trend in Natural Language Processing is the exponential growth in Language Model (LM) size, which prevents research groups without a necessary hardware infrastructure from…