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.
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.