•1 min read•from Machine Learning
Automated Plagiarism with LLM-remixers [D]
An author puts together a number of papers he likes, especially adds the .tex files from arxiv, tells the LLM to look for gaps in the papers, commented out material, and remix them, while avoiding syntactic overlap.
The result is a paper that will pass arxiv's syntactic overlap checks, and can be claimed as novel during a submission.
This has happened many times already, and we are now arguing against LLM-augmented plagiarists.
Welcome to the new age of automated academic ethics collapse.
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Tagged with
#LLM
#plagiarism
#arxiv
#academic ethics
#syntactic overlap
#remixing
#automated
#novel
#.tex files
#machine learning
#submission
#gaps
#commented out material
#ethics collapse
#LLM-augmented
#plagiarists
#paper generation
#research integrity
#algorithmic bias
#text processing