WaterSearch: A Quality-Aware Search-based Watermarking Framework for Large Language Models 事件

WaterSearch: A Quality-Aware Search-based Watermarking Framework for Large Language Models arXiv:2512.00837v2 Announce Type: replace Abstract: Watermarking acts as a critical safeguard in text generated by Large Language Models (LLMs). By embedding identifiable signals into model outputs, watermarking enables reliable attribution and enhances the security of machine-generated content. Existing approaches typically embed signals by manipulating token generation probabilities. Despite their effec