Author

Yihan Wu

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#natural language process... Preprint Sep 2026

TTMark: Pairwise Distortion-Free Watermarking Beyond Single-Token Entropy

Distortion-free watermarking enables reliable attribution of machine-generated text while preserving output distribution. However, existing methods operate independently on each generated token, making their detection capability fundamentally constrained by the entropy of the next-token distribution. We present Tandem...

Rui-Bo Chen, Zheng-Mian Hu, Dong-Hang Lu et al. · 0 citations

#natural language process... Feb 2026

More Haste, Less Speed: Weaker Single-Layer Watermark Improves Distortion-Free Watermark Ensembles

This work proposes a general framework that utilizes weaker single-layer watermarks to preserve the entropy required for effective multi-layer ensembling and demonstrates that this counter-intuitive strategy mitigates signal decay and consistently outperforms strong baselines in both detectability and robustness.

Ruibo Chen, Yihan Wu, Xuehao Cui et al. · arXiv.org · 2 citations