This research introduces CEFW, a unified framework that comprehensively evaluates text watermarking methods for identifying AI-generated content.

• Evaluates watermarks across five key dimensions: detection ease, text quality, embedding complexity, robustness, and security
• Provides standardized metrics and benchmarks to compare different watermarking approaches
• Enables balanced watermark design that doesn't sacrifice one quality for another

Security implications are significant as effective watermarking helps combat AI-generated misinformation and ensures content authenticity in an era of increasingly sophisticated language models.

CEFW: A Comprehensive Evaluation Framework for Watermark in Large Language Models