arxiv.org/abs/2512.04044 MarkTune: Improving the Quality-Detectability Trade-off in Model-Embedded LLM Watermarking
MarkTune is a fine-tuning framework that embeds watermarks directly into language model weights, using GaussMark's detection statistic as a reward while regularizing toward high-quality text or a stronger oracle model. It improves the quality-detectability trade-off, approaches inference-time schemes' detectability, and stays robust under the evaluated edits and open-weight attacks.
— via arXiv Cryptography Security, Yizhou Zhao, Zhiwei Steven Wu, Adam Block