Watermarking Language Models with Error Correcting Codes
Recent progress in large language models enables the creation of realistic machine-generated content. Watermarking is a promising approach to distinguish machine-generated text from human text, embedding statistical signals in the output that are ideally undetectable to humans. We propose a watermar...
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Main Authors | , , |
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Format | Journal Article |
Language | English |
Published |
12.06.2024
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Subjects | |
Online Access | Get full text |
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