arxiv
PublishedJuly 3, 2026 at 4:00 AM
—neutral
kNNGuard: Turning LLM Hidden Activations into a Training-Free Configurable Guardrail
Publisher summary· verbatim
arXiv:2607.02072v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly deployed in domains requiring guardrails to detect unsafe, off-topic, or adversarial prompts. Existing guardrails predominately rely on fine-tuning to build classifiers, which often suffer from low genera
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivIntegrating High-Level Requirements to Low-Level Tests with Machine-Readable V&V Specifications4marxivLifelong Multi-Subsystem Pickup and Delivery with Buffer-Limited Handover Stations4marxivMXSens: Sensitivity-Aware Mixed-Precision Quantization for Efficient LLM Inference4marxivMobile Network Control with a World Model4mThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗