Researchers have developed a compiler-guided adaptive proof search framework designed to improve theorem proving in the Lean 4 programming language. This new method balances exploration and exploitation by using dual-model generation and resampling triggered by stagnation, while refining promising proof states with compiler-grounded comparisons. Experiments on real-world Lean 4 projects demonstrated that this approach offers a better effectiveness-efficiency tradeoff compared to existing baselines, significantly improving the average pass rate and reducing the number of LLM calls. AI
IMPACT Improves efficiency and effectiveness in formal verification tasks for software development.
RANK_REASON The cluster contains an academic paper detailing a new method for theorem proving. [lever_c_demoted from research: ic=1 ai=1.0]
- alphaXiv
- arXiv
- CatalyzeX
- DagsHub
- Gotit.pub
- Hugging Face
- Lean 4 Programming Language
- miniCTX-v2
- ScienceCast
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