#machine learning
Jun 2025
Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts
This paper addresses the problem of optimally estimating the watermark proportion in mixed-source texts, and proposes efficient estimators for this class of methods, and derive minimax lower bounds for any measurable estimator based on pivotal statistics, showing that their estimators achieve these lower bounds.
Xiang Li, Garrett Wen, Weiqing He et al.
· arXiv.org · 5 citations
· ⚡1