HATS: High-Accuracy Triple-Set Watermarking for Large Language Models

Zhiqing Hu, Chenxu Zhao, Jiazhong Lu +1

Misuse of LLM-generated text can be curbed by watermarking techniques that embed implicit signals into the output. We propose a watermark that partitions the vocabulary at each dec…