Enriching LLM theorem-proving prompts with Coq's internal type representations and natural-language explanations raises proof success from 21.8% to 45.8%, surpassing Graph2Tac's 33.2%.
Baldur: Whole-proof generation and repair with large language models
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Clarifying Before Reasoning: A Coq Prover with Structural Context
Enriching LLM theorem-proving prompts with Coq's internal type representations and natural-language explanations raises proof success from 21.8% to 45.8%, surpassing Graph2Tac's 33.2%.