<ul><li>Verifying the provenance of content is crucial to the function of many organizations, especially in the context of LLM-generated text.</li><li>Researchers have developed zero-shot statistical tests to determine if a piece of text was produced by a specific LLM or by a human.</li><li>The tests demonstrate high accuracy and error reduction as the text length increases.</li><li>The findings have practical implications for identifying the origin of harmful or false LLM-generated text.</li></ul>

Zero-Shot Statistical Tests for LLM-Generated Text Detection using Finite Sample Concentration Inequalities

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