He et al. (2024a) introduced a unified theoretical framework for watermarking Large Language Models that jointly optimizes the watermarking scheme and the detector, revealing a fundamental trade-off between watermark detectability (Type-II error) and text distortion.

Authors

• Person: Not available Organization: arXiv
  A Survey on the Theory and Mechanism of Large Language Models

Sources

• A Survey on the Theory and Mechanism of Large Language Models arxiv.org arXiv via serper

Referenced by nodes (2)

• Large Language Models concept
• watermarking concept