arXiv:2506.19923
Prover Agent: An Agent-based Framework for Formal Mathematical Proofs
원문 초록
We present Prover Agent, a novel AI agent for automated theorem proving that integrates large language models (LLMs) with a formal proof assistant, Lean. Prover Agent coordinates an informal reasoning LLM, a formal prover model, and feedback from Lean while also generating auxiliary lemmas to assist in discovering the overall proof strategy. It achieves an 86.1% success rate on the MiniF2F benchmark, establishing a new state-of-the-art among methods using small language models (SLMs) with a much lower sample budget than previous approaches. We also present case studies illustrating how these generated lemmas contribute to solving challenging problems.
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Hierarchical Attention Generates Better Proofs
Learning Rules Explaining Interactive Theorem Proving Tactic Prediction
Mathematical Formalized Problem Solving and Theorem Proving in Different Fields in Lean 4
HybridProver: Augmenting Theorem Proving with LLM-Driven Proof Synthesis and Refinement
Generating Millions Of Lean Theorems With Proofs By Exploring State Transition Graphs
LemmaHead: RAG Assisted Proof Generation Using Large Language Models
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