2025
Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization
NeurIPS 2025poster
The rapid development of LLMs has raised concerns about their potential misuse, leading to various watermarking schemes that typically offer high detectability. However, existing watermarking techniques often face trade-off between watermark detectability and generated text quality. In this paper,…