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By explicitly modeling and calibrating a model's intrinsic uncertainty, EGPO unlocks significant gains in reasoning performance for RL-trained language models.
LLMs can now explore knowledge graphs on their own, discovering better reasoning paths and outperforming even closed-source models on question answering.
