Model-agnostic detector for AI-generated text
Ghostbuster is a model-agnostic detector for detecting text generated by artificial intelligence. It determines whether a target document was generated by artificial intelligence by passing the document through a series of weaker language models and running a structured search on possible feature combinations, then training a classifier on the selected features. Ghostbuster's training data includes journalism, student compositions, and creative writing data, but is not representative of all writing styles or topics and consists primarily of British and American English text.
Ghostbuster is suitable for identifying real-world situations that potentially disable text generation, such as identifying student compositions written by ChatGPT.
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