UniRule formalizes detection rule generation as a unified mapping from contexts and languages to rules and uses dual semantic projections in an agentic RAG setup to outperform direct LLM generation across 12 scenarios with a Bradley-Terry score of 0.52.
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From Context to Rules: Toward Unified Detection Rule Generation
UniRule formalizes detection rule generation as a unified mapping from contexts and languages to rules and uses dual semantic projections in an agentic RAG setup to outperform direct LLM generation across 12 scenarios with a Bradley-Terry score of 0.52.