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New repair method boosts Lean 4 theorem proving success rate

Researchers have developed a new method for automated theorem proving in Lean 4, a proof assistant. This approach, called bounded compiler-guided repair, improves upon simple sampling models by using compiler error messages to fix failed proof steps in real-time. The system achieved a significant relative gain of up to 32% in solving theorems on the LeanDojo benchmark and nearly doubled the solve rate on the Lean Workbook benchmark. AI

IMPACT Enhances automated theorem proving capabilities, potentially accelerating formal verification in software development.

RANK_REASON Academic paper detailing a new method for automated theorem proving. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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New repair method boosts Lean 4 theorem proving success rate

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Academic paper detailing a new method for automated theorem proving. [lever_c_demoted from research: ic=1 ai=1.0]
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  1. arXiv cs.AI TIER_1 English(EN) · Haotian Deng, Chris Farber, Sonal Narasimha, Samskrithi Sivakumar, Yexiang Xue ·

    Fix, Not Just Resample: Bounded Compiler-Guided Repair in Lean 4

    arXiv:2610.26942v1 Announce Type: new Abstract: Automated theorem provers often rely on sampling language models, but proof assistants like Lean reject each failed step with a precise error message --- information that pure sampling discards. To overcome this, we introduce a boun…