Papers › Efficient Neural Theorem Proving via Fine-grained Proof Structure Analysis

Efficient Neural Theorem Proving via Fine-grained Proof Structure Analysis

30 Jan 2025arXiv:2501.18310archive 2025-07-28

Haoxiong Liu, Jiacheng Sun, Zhenguo Li, Andrew C Yao

The synergy between deep learning models and traditional automation tools plays a pivotal role in developing robust neural theorem provers (NTPs). However, for proof synthesis with LLMs, previous work applies automation tools either only when the model explicitly calls the method, or only at a single granularity level, failing to fully exploit the power of built-in tactics and off-the-shelf automated theorem provers. In this work, we propose ProofAug, a novel theorem proving method that enjoys superior sample efficiency through equipping proof-generation LLMs with automation methods in different granularities via fine-grained structure analysis of model-generated proof proposals. Furthermore, ProofAug serves as a versatile plug-and-play module that seamlessly integrates with any tree-search algorithm, enabling our construction of an efficient recursive proving (ERP) module to further enhance performance. The superiority of our method is validated on the miniF2F-test benchmark using the open-source deepseek-math-7b-base model and the Isabelle proof assistant. Notably, by additionally employing a mixed prompting strategy, we achieve a cumulative pass rate of 66.0% after curation of the dataset (61.9% for the original version), setting a new SOTA across all proof languages with a total sample budget of only 2100. Our code is available at https://github.com/haoxiongliu/ProofAug.

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Automated Theorem ProvingMath

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Automated Theorem Proving miniF2F-test ProofAug ITP Isabelle #2 of 29 Archive leaderboard report
Automated Theorem Proving miniF2F-test ProofAug Pass@1 36.5 #2 of 29 Archive leaderboard report
Automated Theorem Proving miniF2F-test ProofAug Pass@100 52.5 #2 of 29 Archive leaderboard report
Automated Theorem Proving miniF2F-test ProofAug cumulative 66.0 #2 of 29 Archive leaderboard report

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