Papers with arbitrary vocabulary partitioning

    1 papers
    WatME: Towards Lossless Watermarking Through Lexical Redundancy (2024.acl-long)

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    Challenge: Existing methods for text watermarking rely on arbitrary vocabulary partitioning during decoding, which compromises the availability of suitable tokens and significantly degrades the quality of responses.
    Approach: They propose a method that leverages linguistic prior knowledge of lexical redundancies in LLM vocabularies to seamlessly integrate watermarks.
    Outcome: The proposed approach preserves the expressive power of large language models while preserving watermark detectability.

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