PASA is a semantic-level watermarking method for LLM text that uses embedding-space clusters and synchronized randomness to remain detectable after paraphrasing while preserving text quality.
A survey of text watermarking in the era of large language models
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PASA: A Principled Embedding-Space Watermarking Approach for LLM-Generated Text under Semantic-Invariant Attacks
PASA is a semantic-level watermarking method for LLM text that uses embedding-space clusters and synchronized randomness to remain detectable after paraphrasing while preserving text quality.