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News/WaterSearch: A Quality-Aware Search-based Watermarking Framework for Large Language Models
arxiv
PublishedMay 29, 2026 at 4:00 AM
▲bullish

WaterSearch: A Quality-Aware Search-based Watermarking Framework for Large Language Models

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arxiv.orgfull article ↗
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Publisher summary· verbatim

arXiv:2512.00837v2 Announce Type: replace Abstract: Watermarking acts as a critical safeguard in text generated by Large Language Models (LLMs). By embedding identifiable signals into model outputs, watermarking enables reliable attribution and enhances the security of machine-generated content. Exi

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#watermarking#language-models#security#text-generation

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Mentioned models
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  • 01
    Large Language Models (LLMs)
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Read original ↗All from arxiv →
Tags
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#watermarking#language-models#security#text-generation
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Originally published on arxiv ↗
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