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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Bibliographic Details
Main Authors Chao, Patrick, Dobriban, Edgar, Hassani, Hamed
Format Journal Article
LanguageEnglish
Published 12.06.2024
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