Unverified50% confidenceFactExact time
In recent years, large language models have been used to automatically generate drafts of formal proofs, which the proof assistant then checks step by step, reports errors, and iteratively corrects.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/18/2026
First Seen
Valid until: 1/16/2027
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Related Claims
UnverifiedLarge language models can assist in generating proof drafts, while formalization tools serve as the final judge; this combination of "AI generation + formal verification" is dramatically lowering the marginal cost of formalization.79% similarUnverifiedLarge language models can translate mathematical ideas written in natural language into proof fragments acceptable to Lean, which are then subject to final mechanical verification by the formal system.78% similarUnverifiedThe paper uses manually written style examples to prompt a language model to convert original exhaustive commands into intent-centered weak instructions, batch-generating paired training data.76% similarUnverifiedLarge language models can not only recognize characters but also understand contextual semantics to automatically correct recognition errors.75% similarUnverifiedFormal proof assistants produce outputs with mathematical certainty, whereas large language models can only produce seemingly plausible proof drafts.74% similar
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