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STARE not only prevents policy entropy collapse but also enhances accuracy by up to 8% across diverse tasks, showcasing a new frontier in stable RL training.
LLMs can reason more effectively by directly tracking their own belief in the correct answer throughout the reasoning process, enabling more targeted policy updates.
