A three-stage RL framework (cold start, diversity warm-up, curriculum jailbreak) trains a 7B red-team model that reports SOTA jailbreak ASR and diversity on HarmBench, though the evaluation is compromised by training-data overlap.
Claude-3.5-sonnet, 2024
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Jailbreak-R1: Exploring the Jailbreak Capabilities of LLMs via Reinforcement Learning
A three-stage RL framework (cold start, diversity warm-up, curriculum jailbreak) trains a 7B red-team model that reports SOTA jailbreak ASR and diversity on HarmBench, though the evaluation is compromised by training-data overlap.