WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data

no code implementations • 1 Oct 2023 • Jingtan Wang, Xinyang Lu, Zitong Zhao, Zhongxiang Dai, Chuan-Sheng Foo, See-Kiong Ng, Bryan Kian Hsiang Low

The impressive performances of large language models (LLMs) and their immense potential for commercialization have given rise to serious concerns over the intellectual property (IP) of their training data.

Language Modelling Large Language Model