Measuring Copyright Risks of Large Language Model via Partial Information Probing

Weijie Zhao, Huajie Shao, Zhaozhuo Xu +2

Exploring the data sources used to train Large Language Models (LLMs) is a crucial direction in investigating potential copyright infringement by these models. While this approach…