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Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection
ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2021
23 March 2021
Jan Philip Wahle
Terry Ruas
Norman Meuschke
Bela Gipp
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Papers citing
"Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection"
18 / 18 papers shown
Generation, Evaluation, and Explanation of Novelists' Styles with Single-Token Prompts
Mosab Rezaei
Mina Rajaei Moghadam
A. Shaikh
Hamed Alhoori
Reva Freedman
177
0
0
25 Nov 2025
Overview of the Plagiarism Detection Task at PAN 2025
André Greiner-Petter
Maik Fröbe
Jan Philip Wahle
Terry Ruas
Bela Gipp
Akiko Aizawa
Martin Potthast
188
0
0
08 Oct 2025
Voting or Consensus? Decision-Making in Multi-Agent Debate
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Lars Benedikt Kaesberg
Jonas Becker
Jan Philip Wahle
Terry Ruas
Bela Gipp
754
45
0
26 Feb 2025
Pub-Guard-LLM: Detecting Retracted Biomedical Articles with Reliable Explanations
Lihu Chen
Shuojie Fu
Gabriel Freedman
Cemre Zor
Guy Martin
James Kinross
Uddhav Vaghela
Ovidiu Serban
Francesca Toni
DeLMO
670
0
0
21 Feb 2025
PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection
Jooyoung Lee
Toshini Agrawal
Adaku Uchendu
Thai V. Le
Jinghui Chen
Dongwon Lee
529
7
0
24 Jun 2024
Text Generation: A Systematic Literature Review of Tasks, Evaluation, and Challenges
Jonas Becker
Jan Philip Wahle
Bela Gipp
Terry Ruas
417
22
0
24 May 2024
Paraphrase Types for Generation and Detection
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Jan Philip Wahle
Bela Gipp
Terry Ruas
428
8
0
23 Oct 2023
Paraphrase Detection: Human vs. Machine Content
Jonas Becker
Jan Philip Wahle
Terry Ruas
Bela Gipp
DeLMO
347
16
0
24 Mar 2023
Paraphrase Identification with Deep Learning: A Review of Datasets and Methods
IEEE Access (IEEE Access), 2022
Chao Zhou
Cheng Qiu
Daniel Ernesto Acuna
329
38
0
13 Dec 2022
How Large Language Models are Transforming Machine-Paraphrased Plagiarism
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Jan Philip Wahle
Terry Ruas
Frederic Kirstein
Bela Gipp
366
47
0
07 Oct 2022
Lost at C: A User Study on the Security Implications of Large Language Model Code Assistants
USENIX Security Symposium (USENIX Security), 2022
Gustavo Sandoval
Hammond Pearce
Teo Nys
Ramesh Karri
S. Garg
Brendan Dolan-Gavitt
ELM
434
150
0
20 Aug 2022
A Domain-adaptive Pre-training Approach for Language Bias Detection in News
ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2022
Jan-David Krieger
Timo Spinde
Terry Ruas
Juhi Kulshrestha
Bela Gipp
AI4CE
319
30
0
22 May 2022
Specialized Document Embeddings for Aspect-based Similarity of Research Papers
ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2022
Malte Ostendorff
Till Blume
Terry Ruas
Bela Gipp
Georg Rehm
198
27
0
28 Mar 2022
PerPaDa: A Persian Paraphrase Dataset based on Implicit Crowdsourcing Data Collection
International Conference on Language Resources and Evaluation (LREC), 2022
Salar Mohtaj
F. Tavakkoli
H. Asghari
242
4
0
17 Jan 2022
MuLVE, A Multi-Language Vocabulary Evaluation Data Set
International Conference on Language Resources and Evaluation (LREC), 2022
Anik Jacobsen
Salar Mohtaj
Sebastian Möller
105
1
0
17 Jan 2022
Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection
iConference (iConference), 2021
Jan Philip Wahle
Nischal Ashok Kumar
Terry Ruas
Norman Meuschke
Tirthankar Ghosal
Bela Gipp
391
19
0
15 Nov 2021
Incorporating Word Sense Disambiguation in Neural Language Models
Jan Philip Wahle
Terry Ruas
Norman Meuschke
Bela Gipp
289
12
0
15 Jun 2021
Identifying Machine-Paraphrased Plagiarism
iConference (iConference), 2021
Jan Philip Wahle
Terry Ruas
Tomávs Foltýnek
Norman Meuschke
Bela Gipp
571
38
0
22 Mar 2021
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