Jan 24, 2023 · We propose a watermarking framework for proprietary language models. The watermark can be embedded with negligible impact on text quality.

REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models. Preprint. Ruisi Zhang, Shehzeen Samarah Hussain, Paarth Neekhara ...

Jun 7, 2023 · Watermarking is a simple and effective strategy for mitigating such harms by enabling the detection and documentation of LLM-generated text. Yet ...

We present REMARK-LLM, a novel efficient, and robust watermarking framework designed for texts generated by large language models (LLMs).

Feb 21, 2024 · This paper investigates the radioactivity of LLM-generated texts, ie whether it is possible to detect that such input was used as training data.

Jul 30, 2023 · We propose a methodology for planting robust watermarks in generated text that do not distort the distribution over text.

The watermark can be embedded with negligible impact on text quality, and ... It is a vector graphic and may be used at any scale. Useful links. Contact. 1269 Law ...

Official implementation of the watermarking and detection algorithms presented in the papers: "A Watermark for Large language Models" by John Kirchenbauer.

Abstract. LLM watermarking has attracted attention as a promising way to detect AI-generated content, with some works suggesting that current schemes.