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Researchers built a model called Grover that can both generate fake news articles and reliably detect neural fake news generated by other models. Grover is effective at detecting neural fake news because it is most familiar with its own traits and generation process, as well as those of similar AI models. In testing, Grover obtained over 92% accuracy at distinguishing human-written from machine-written news articles, even with limited access to neural fake news samples. The document demonstrates how Grover

Author

untrat

Language

EN