RECAP is an RL post-training method that uses counter-aligned CoT prefills to make large reasoning models reroute from flawed reasoning to safe responses while preserving reasoning ability.
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Large Reasoning Models Learn Better Alignment from Flawed Thinking
RECAP is an RL post-training method that uses counter-aligned CoT prefills to make large reasoning models reroute from flawed reasoning to safe responses while preserving reasoning ability.