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ImProver 2: Iteratively Self-Improving LMs for Neurosymbolic Proof Optimization

cs.AI updates on arXiv.org·
AI Analysis

ImProver 2 is a new neurosymbolic framework designed to optimize formal proofs in Lean 4, significantly improving performance with a 7B-parameter model that outperforms larger models. This advancement in proof optimization could enhance the maintainability of formal mathematics libraries and improve the quality of training data for neural provers.

Key Topics

ImProver 2Lean 4neural proversneurosymbolic framework

Originally reported by cs.AI updates on arXiv.org. Read the full article ↗