Multi-layer Fisher-weighted kNN over frozen-LLM activations, fused with embedding kNN, yields competitive F1 guardrails from a 50-example bank with no fine-tuning and sub-10-second domain adaptation.
arXiv preprint arXiv:2002.09247 , year=
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kNNGuard: Turning LLM Hidden Activations into a Training-Free Configurable Guardrail
Multi-layer Fisher-weighted kNN over frozen-LLM activations, fused with embedding kNN, yields competitive F1 guardrails from a 50-example bank with no fine-tuning and sub-10-second domain adaptation.