Jan 24, 2023 · We propose a watermarking framework for proprietary language models. The watermark can be embedded with negligible impact on text quality, and ...
May 1, 2024 · We propose a watermarking framework for proprietary language models. The watermark can be embedded with negligible impact on text quality, and ...
Official implementation of the watermarking and detection algorithms presented in the papers: "A Watermark for Large language Models" by John Kirchenbauer*, ...
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Duration: 1:15:04
Posted: Aug 18, 2023
Posted: Aug 18, 2023
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Oct 28, 2023 · We study the robustness of watermarked text after it is re-written by humans, paraphrased by a non-watermarked LLM, or mixed into a longer hand-written document ...
Jan 27, 2023 · Our watermark is mathematically constructed to minimize false positives (accusing human text of being machine generated), even if it costs us a ...
A statistical test for detecting the watermark with interpretable p-values is proposed, and an information-theoretic framework for analyzing the sensitivity ...
Aug 27, 2023 · We propose a watermarking framework for proprietary language models. The watermark can be embedded with negligible impact on text quality, and ...
Implementation of 'A Watermark for Large Language Models' paper by Kirchenbauer & Geiping et. al. - BrianPulfer/LMWatermark.
The watermark works by selecting a randomized set of "green" tokens before a word is generated, and then softly promoting use of green tokens during sampling.
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