
REMARK-LLM, a novel watermarking framework, efficiently embeds binary signatures into texts generated by large language models (LLMs) while preserving semantic integrity and exhibiting resilience against watermark detection and removal attacks.


coremsg

robust-and-efficient-watermarking-framework-for-safeguarding-intellectual-property-in-large-language-models


Robust and Efficient Watermarking Framework for Safeguarding Intellectual Property in Large Language Models


title_rewrite


A novel topic-based watermarking scheme that enhances the robustness and efficiency of watermarking algorithms for large language model-generated text, addressing the limitations of current approaches.


enhancing-robustness-and-efficiency-in-watermarking-large-language-model-generated-text


Enhancing Robustness and Efficiency in Watermarking Large Language Model-Generated Text
