LLMs have shown notable improvements in mathematical reasoning by extending through natural language, resulting in performance gains on benchmarks such as MATH and AIME. However, reinforcement learning (RL) for training these models encounters a challenge: verifying the correctness of natural language proofs is very difficult, requiring careful manual checking of each reasoning step. This limits […]
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