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Si-Yuan Sheng

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Jul 2026

WaterMoE: Expert-Routing-based Watermarking for High Fidelity and Efficiency

This work proposes an LLM watermarking scheme \textit{WaterMoE} for the growingly popular Mixture-of-Experts (MoE) LLMs that achieves a fidelity performance close to the unwatermarked and consistently outperforms state-of-the-art watermarking methods on the benchmark.

Ze-Wen Sun, Qian Jiang, Si-Yuan Sheng et al. · 0 citations

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