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Large language models (LLMs) have the potential to generate texts that pose risks of misuse, such as plagiarism, planting fake reviews on e-commerce platforms, or creating inflammatory false tweets.
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Unifying human and statistical evaluation for natural language generation
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Automatic detection of generated text is easiest when humans are fooled
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