How Large Language Models are Transforming Machine-Paraphrased Plagiarism

7 October 2022

Papers citing "How Large Language Models are Transforming Machine-Paraphrased Plagiarism"

8 / 8 papers shown

Title
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
Paraphrase Types Elicit Prompt Engineering Capabilities Jan Philip Wahle Terry Ruas Yang Xu Bela Gipp 34 5 0 28 Jun 2024
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 Acquisition from Image Captions Marcel Gohsen Matthias Hagen Martin Potthast Benno Stein 10 0 0 26 Jan 2023
With Little Power Comes Great Responsibility Dallas Card Peter Henderson Urvashi Khandelwal Robin Jia Kyle Mahowald Dan Jurafsky 225 115 0 13 Oct 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,460 0 23 Jan 2020
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 230 31,253 0 16 Jan 2013