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Through PPO using a reward model trained on merely 5% of the LeanStatement_RL dataset, our model achieved enhanced performance, reaching a **pass@1 compilation success rate** of **95.3%** (465/488) on MiniF2F and **76.0%** (284/374) on ProofNet benchmarks.
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