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StepFun-Prover Preview: Let's Think and Verify Step by Step

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arxiv 2507.20199 v3 pith:IBCFVWUK submitted 2025-07-27 cs.AI

StepFun-Prover Preview: Let's Think and Verify Step by Step

Shijie Shang , Ruosi Wan , Yue Peng , Yutong Wu , Xiong-hui Chen , Jie Yan , Xiangyu Zhang This is my paper
classification cs.AI
keywords stepfun-proverbenchmarkmodelperformancepreviewproofsprovingreasoning
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We present StepFun-Prover Preview, a large language model designed for formal theorem proving through tool-integrated reasoning. Using a reinforcement learning pipeline that incorporates tool-based interactions, StepFun-Prover can achieve strong performance in generating Lean 4 proofs with minimal sampling. Our approach enables the model to emulate human-like problem-solving strategies by iteratively refining proofs based on real-time environment feedback. On the miniF2F-test benchmark, StepFun-Prover achieves a pass@1 success rate of $70.0\%$. Beyond advancing benchmark performance, we introduce an end-to-end training framework for developing tool-integrated reasoning models, offering a promising direction for automated theorem proving and Math AI assistant.

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Cited by 3 Pith papers

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  3. OProver: A Unified Framework for Agentic Formal Theorem Proving

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