Decomposing natural-language proofs into sentence-level formal subproofs improves autoformalization success rates and efficiency compared with whole-proof formalization.
Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing
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StepProof: Step-by-step verification of natural language mathematical proofs
Decomposing natural-language proofs into sentence-level formal subproofs improves autoformalization success rates and efficiency compared with whole-proof formalization.