Training-Free Policy Violation Detection via Activation-Space Whitening in LLMs
Published:Dec 3, 2025 17:23
•1 min read
•ArXiv
Analysis
This article likely presents a novel method for detecting policy violations in Large Language Models (LLMs) without requiring specific training. The approach, based on activation-space whitening, suggests an innovative way to identify problematic outputs. The use of 'training-free' is a key aspect, potentially offering efficiency and adaptability.
Key Takeaways
- •Focuses on detecting policy violations in LLMs.
- •Employs activation-space whitening.
- •Highlights a training-free approach, potentially improving efficiency.
Reference
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