routing-fingerprint

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   Mixture-of-Experts LLMs Characterizing Recoverable Expert-Utilization Signatures in Fine-Tuned MoE LLMs

   Research · since 2 Nov 2026

   Researchers uncover structural memorization vulnerabilities in fine-tuned mixture-of-experts large language models, where models leak internal routing pathways used during training. This creates a characteristic fingerprint unique to the training process that can be extracted.

   AI

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