SimMark introduces a breakthrough watermarking technique that enables detection of LLM-generated content while maintaining compatibility across diverse models, including API-only systems.

• Uses semantic sentence embeddings to watermark text without requiring access to model internals
• Demonstrates robust detection even against paraphrasing attacks and content modifications
• Achieves effective watermarking with minimal impact on output quality
• Provides a practical solution for tracing AI-generated content in real-world applications

Security Implications: SimMark addresses the critical need for reliable AI content attribution in an era where distinguishing human from machine-generated text has significant security and ethical implications.

SimMark: A Robust Sentence-Level Similarity-Based Watermarking Algorithm for Large Language Models