Optimal Watermark Localization in Mixed-Source Large Language Model Texts
Watermarking provides a principled way to authenticate text generated by large language models (LLMs). In practice, however, the final text may be mixed-source, with watermark evidence surviving at only a subset of token positions after rewriting, insertion, deletion, or paraphrasing. Although prior work has studied gl...
José H. Blanchet, T. Cai, Xiang Li et al.
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