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インサイト - Large Language Model Watermarking
Robust and Efficient Watermarking Framework for Safeguarding Intellectual Property in Large Language Models
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.
Enhancing Robustness and Efficiency in Watermarking Large Language Model-Generated Text
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.