A multi-agent deliberation and refinement pipeline generates policy-embedded chain-of-thought data that improves safety fine-tuning and jailbreak resistance in open LLMs.
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Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation
A multi-agent deliberation and refinement pipeline generates policy-embedded chain-of-thought data that improves safety fine-tuning and jailbreak resistance in open LLMs.