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arXiv · 2502.08908

Reinforced Large Language Model is a formal theorem prover

Zhiling Luo
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Abstract

To take advantage of Large Language Model in theorem formalization and proof, we propose a reinforcement learning framework to iteratively optimize the pretrained LLM by rolling out next tactics and comparing them with the expected ones. The experiment results show that it helps to achieve a higher accuracy compared with directly fine-tuned LLM.

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Zhiling Luo. 2025-02-13. Reinforced Large Language Model is a formal theorem prover. https://arxiv.org/abs/2502.08908

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