Are Neural Language Models Good Plagiarists? A Benchmark for Neural
Paraphrase Detection

Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection

23 March 2021

Jan Philip Wahle

Norman Meuschke

Papers citing "Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection"

9 / 9 papers shown

Title
Voting or Consensus? Decision-Making in Multi-Agent Debate Lars Benedikt Kaesberg Jonas Becker Jan Philip Wahle Terry Ruas Bela Gipp 66 1 0 26 Feb 2025
Pub-Guard-LLM: Detecting Fraudulent Biomedical Articles with Reliable Explanations Lihu Chen Shuojie Fu Gabriel Freedman Cemre Zor Guy Martin James Kinross Uddhav Vaghela Ovidiu Serban Francesca Toni DeLMO 63 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 31 1 0 24 Jun 2024
Paraphrase Detection: Human vs. Machine Content Jonas Becker Jan Philip Wahle Terry Ruas Bela Gipp DeLMO 22 12 0 24 Mar 2023
Paraphrase Identification with Deep Learning: A Review of Datasets and Methods Chao Zhou Cheng Qiu Daniel Ernesto Acuna 24 25 0 13 Dec 2022
Lost at C: A User Study on the Security Implications of Large Language Model Code Assistants Gustavo Sandoval Hammond Pearce Teo Nys Ramesh Karri S. Garg Brendan Dolan-Gavitt ELM 16 90 0 20 Aug 2022
Identifying Machine-Paraphrased Plagiarism Jan Philip Wahle Terry Ruas Tomávs Foltýnek Norman Meuschke Bela Gipp 11 30 0 22 Mar 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir F. Khan M. Shah ViT 225 2,428 0 04 Jan 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,950 0 20 Apr 2018