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LeanPolish pipeline enhances AI-generated Lean proofs with verified edits

By PulseAugur Editorial · [1 sources] ·

Researchers have developed LeanPolish, a symbolic pipeline for the Lean 4 programming language, to generate verified proof edits for improving language model-generated proofs. This system releases 33,402 accepted edits and 65,596 failed attempts, enabling a study into what models learn from this supervision. When evaluated, a trained ranker using LeanPolish selects the best candidate proof on 70.1% of held-out states, significantly outperforming a frozen baseline. The pipeline also enhances proof compression, increasing savings on the miniF2F benchmark and improving verified token reduction for whole-proof rewriting. AI

IMPACT This research provides a new method for generating and evaluating AI-assisted code proofs, potentially improving the reliability and efficiency of formal verification tools.

RANK_REASON The cluster is about a research paper detailing a new method for improving AI-generated proofs in a specific programming language. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LeanPolish pipeline enhances AI-generated Lean proofs with verified edits

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The cluster is about a research paper detailing a new method for improving AI-generated proofs in a specific programming language. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Pauline Bourigault ·

    LeanPolish: Verified Supervision for Lean Proof Compression

    arXiv:2609.38384v1 Announce Type: new Abstract: Verified proof edits offer a natural source of supervision for improving language-model-generated Lean proofs. Yet verification establishes that an edit is correct, not that its training signal is free of search artifacts. We introd…

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