Author

Hyeseon An

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#artificial intelligence Preprint Oct 2026

Grammar-Guided Code Watermarking with Green Temperature

Large language model watermarking embeds detectable statistical signals during decoding, but the resulting changes to token probabilities can degrade generation quality. This trade-off is particularly important for code, where small changes in token selection can break syntax or alter program behavior. Existing code wa...

Hyundong Jin, Hyeseon An, Soohan Lim et al. · 0 citations

#artificial intelligence May 2026

Linguistics-Aware Non-Distortionary LLM Watermarking

LUNA is a linguistically adaptive watermark that combines model-free detection with single-token non-distortion under the standard random-key model, and is the only method that simultaneously achieves AUROC>0.99 and an absolute median perplexity shift below 0.1.

Shinwoo Park, Hyejin Park, Hyeseon An et al. · arXiv.org · 0 citations