SafeHarbor introduces a hierarchical memory-augmented guardrail with adversarial rule extraction and entropy-driven self-evolution to balance safety and utility in LLM agents.
International Conference on Learning Representations , volume=
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it