Papers › Reinforced Large Language Model is a formal theorem prover
Reinforced Large Language Model is a formal theorem prover
Zhiling Luo
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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