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Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators
[article]
2022
arXiv
pre-print
Recently, there has been a rise in the development of powerful pre-trained natural language models, including GPT-2, Grover, and XLM. These models have shown state-of-the-art capabilities towards a variety of different NLP tasks, including question answering, content summarisation, and text generation. Alongside this, there have been many studies focused on online authorship attribution (AA). That is, the use of models to identify the authors of online texts. Given the power of natural language
arXiv:2203.09813v1
fatcat:wt7rwixfqfgc5hooqqgbn63hzi