A self-supervised RL framework with curriculum-decomposed constraints and a constraint-wise binary reward model improves instruction following in reasoning LLMs while preserving reasoning performance.
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Beyond the Trade-off: Self-Supervised Reinforcement Learning for Reasoning Models' Instruction Following
A self-supervised RL framework with curriculum-decomposed constraints and a constraint-wise binary reward model improves instruction following in reasoning LLMs while preserving reasoning performance.