A Text Watermark for Large Language Models

John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, Tom Goldstein

Abstract

Proposes a watermarking framework for LLM-generated text that embeds a statistically detectable signal without significantly affecting output quality.

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@article{llmsec202400014,
  title = {A Text Watermark for Large Language Models},
  author = {John Kirchenbauer and Jonas Geiping and Yuxin Wen and Jonathan Katz and Ian Miers and Tom Goldstein},
  year = {2023},
  journal = {ICML 2023},
  url = {https://arxiv.org/abs/2301.10226},
}