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SWAN framework embeds watermarks in semantic structure for robust text provenance

By PulseAugur Editorial · [2 sources] ·

Researchers have developed SWAN, a new framework for embedding watermarks into the semantic structure of sentences using Abstract Meaning Representation (AMR). Unlike previous methods that alter token selection, SWAN encodes signatures directly into the semantic representation, making them robust to paraphrasing. This training-free approach uses LLM prompting for injection and an AMR parser for detection, achieving state-of-the-art performance and improving detection AUC by up to 13.9 percentage points against paraphrasing. AI

IMPACT Introduces a more robust method for text provenance verification, potentially aiding in detecting AI-generated content even after modifications.

RANK_REASON The cluster contains a new academic paper detailing a novel framework for semantic watermarking.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

SWAN framework embeds watermarks in semantic structure for robust text provenance

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The cluster contains a new academic paper detailing a novel framework for semantic watermarking.
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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Ziping Ye, Gourab Dey, Christos Christodoulopoulos, Charith Peris, Anil Ramakrishna, Weitong Ruan, Aram Galstyan, Kai-Wei Chang, Rahul Gupta, Ninareh Mehrabi ·

    SWAN: Semantic Watermarking with Abstract Meaning Representation

    arXiv:2605.04305v1 Announce Type: new Abstract: We introduce SWAN (Semantic Watermarking with Abstract Meaning Representation), a novel framework that embeds watermark signatures into the semantic structure of a sentence using Abstract Meaning Representation (AMR). In contrast to…

  2. arXiv cs.CL TIER_1 English(EN) · Ninareh Mehrabi ·

    SWAN: Semantic Watermarking with Abstract Meaning Representation

    We introduce SWAN (Semantic Watermarking with Abstract Meaning Representation), a novel framework that embeds watermark signatures into the semantic structure of a sentence using Abstract Meaning Representation (AMR). In contrast to existing watermarking methods, which typically …

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