Tag
This paper presents Dual-Embedding Watermarking (DEW), a semantic watermarking scheme for LLMs that improves robustness against paraphrasing and translation by leveraging contextual and token-level embeddings. Experimental results show improved detection after paraphrasing and translation compared to prior methods.