Linguistics-Aware Non-Distortionary LLM Watermarking 事件

Linguistics-Aware Non-Distortionary LLM Watermarking arXiv:2606.00613v1 Announce Type: new Abstract: Watermarking should identify language-model output without degrading quality or limiting verification to the model provider. Multilingual deployment makes this harder because morphology, segmentation, and script change where watermark evidence can enter naturally. We introduce LUNA, a linguistically adaptive watermark that combines model-free detection with single-token non-distortion under the