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How Large Language Models are Transforming Machine-Paraphrased Plagiarism
12 references·0 citing·46 second hop
How Large Language Models are Transforming Machine-Paraphrased Plagiarism (2023)How Large Language Models are Transformin…D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research (2023)D3: A Massive Dataset of Scho…Identifying Machine-Paraphrased Plagiarism (2022)Identifying Machine-Paraphras…Plagiarism in the age of massive Generative Pre-trained Transformers (GPT-3) (2021)Plagiarism in the age of mass…Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection (2021)Are Neural Language Models Go…S2ORC: The Semantic Scholar Open Research Corpus (2020)S2ORC: The Semantic Scholar O…Detecting Machine-Obfuscated Plagiarism (2020)Detecting Machine-Obfuscated …Testing of Support Tools for Plagiarism Detection (2019)Testing of Support Tools for …RoBERTa: A Robustly Optimized BERT Pretraining Approach (2019)RoBERTa: A Robustly Optimized…Defending Against Neural Fake News (2019)Defending Against Neural Fake…Plagiarism Meets Paraphrasing: Insights for the Next Generation in Automatic Plagiarism Detection (2013)Plagiarism Meets Paraphrasing…The Equivalence of Weighted Kappa and the Intraclass Correlation Coefficient as Measures of Reliability (1973)The Equivalence of Weighted K…I.—COMPUTING MACHINERY AND INTELLIGENCE (1950)I.—COMPUTING MACHINERY AND IN…A History of Western Philosophy. (1946)The Mind of Mechanical Man (1949)GPT-3: Its Nature, Scope, Limits, and Consequences (2020)Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy (2023)What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education (2023)A Coefficient of Agreement for Nominal Scales (1960)Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit. (1968)Large sample standard errors of kappa and weighted kappa. (1969)The Measurement of Observer Agreement for Categorical Data (1977)Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology. (1994)Likert scales, levels of measurement and the “laws” of statistics (2010)Syntactic Structures (1957)English verb classes and alternations : a preliminaryinvestigation (1993)“Should It Be Considered Plagiarism?” Student Perceptions of Complex Citation Issues (2015)Predicting the Law Area and Decisions of French Supreme Court Cases (2017)Unmasking text plagiarism using syntactic-semantic based natural language processing techniques: Comparisons, analysis and challenges (2018)Journal of Universal Computer Science (2020)"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection (2017)The agenda-setting power of fake news: A big data analysis of the online media landscape from 2014 to 2016 (2017)Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking (2017)Taxonomy of Risks posed by Language Models (2022)Fake news, disinformation and misinformation in social media: a review (2023)False Feathers (2014)Using Internet based paraphrasing tools: Original work, patchwriting or facilitated plagiarism? (2017)Academic Plagiarism Detection (2019)Co‐citation in the scientific literature: A new measure of the relationship between two documents (1973)ArnetMiner (2008)CORD-19: The COVID-19 Open Research Dataset (2020)Fact or Fiction: Verifying Scientific Claims (2020)Quantifying large language model usage in scientific papers (2025)Fourth-Generation Evaluation (1988)Educational Leadership (2010)Fourth Generation Evaluation (2014)A systematic literature review on online assessment security: Current challenges and integrity strategies (2021)Exam cheating and academic integrity breaches during the COVID-19 pandemic: An analysis of internet search activity in Spain (2021)Testing of detection tools for AI-generated text (2023)ASPECTS OF THE THEORY OF SYNTAX (1964)Moral Machines (2009)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Chatting and cheating: Ensuring academic integrity in the era of ChatGPT (2023)The effects of over-reliance on AI dialogue systems on students' cognitive abilities: a systematic review (2024)On the Opportunities and Risks of Foundation Models (2021)ChatGPT for good? On opportunities and challenges of large language models for education (2023)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)How Large Language Models are Transforming Machine-Paraphrase Plagiarism (2022)Academic Integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond (2023)
this work references cited by second hop

References

  • 2019RoBERTa: A Robustly Optimized BERT Pretraining Approach16,988 cited
  • 1950I.—COMPUTING MACHINERY AND INTELLIGENCE10,644 cited
  • 1973The Equivalence of Weighted Kappa and the Intraclass Correlation Coefficient as Measures of Reliability3,355 cited
  • 2019Defending Against Neural Fake News569 cited
  • 2020S2ORC: The Semantic Scholar Open Research Corpus532 cited
  • 2021Plagiarism in the age of massive Generative Pre-trained Transformers (GPT-3)295 cited
  • 2013Plagiarism Meets Paraphrasing: Insights for the Next Generation in Automatic Plagiarism Detection151 cited
  • 2019Testing of Support Tools for Plagiarism Detection133 cited
  • 2022Identifying Machine-Paraphrased Plagiarism39 cited
  • 2020Detecting Machine-Obfuscated Plagiarism32 cited
  • 2021Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection29 cited
  • 2023D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research9 cited

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