Less is More: Sparse Watermarking in LLMs with Enhanced Text Quality

Duy C. Hoang, Hung T. Q. Le, Rui Chu +4

With the widespread adoption of Large Language Models (LLMs), concerns about potential misuse have emerged. To this end, watermarking has been adapted to LLM, enabling a simple and…