MarkLLM: An Open-Source Toolkit for LLM Watermarking

arXiv:2405.10051v1 Announce Type: cross
Abstract: LLM watermarking, which embeds imperceptible yet algorithmically detectable signals in model outputs to identify LLM-generated text, has become crucial in mitigating the potential misuse of large language models. However, the abundance of LLM watermarking algorithms, their intricate mechanisms, and the complex evaluation procedures and perspectives pose challenges for researchers and the community to easily experiment with, understand, and assess the latest advancements. To address these issues, we introduce MarkLLM, an open-source toolkit for LLM watermarking. …

arxiv cs.cl cs.cr llm toolkit type watermarking