Shinwoo Park
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SeqWM introduces a sequential behavioral watermarking framework that embeds ownership signals into history-conditioned transition patterns of LLM agent actions, providing robust and position-agnostic provenance tracking.
The paper introduces LUNA, a linguistically adaptive watermarking technique that achieves high detection accuracy across diverse languages while maintaining minimal text distortion, outperforming existing methods significantly.
Papers
Linguistics-Aware Non-Distortionary LLM Watermarking
The paper introduces LUNA, a linguistically adaptive watermarking technique that achieves high detection accuracy across diverse languages while maintaining minimal text distortion, outperforming exis…