MiniF2F-Dafny: Advancing Theorem Proving with LLM-Guided Verification

This research explores a novel application of Large Language Models (LLMs) in the domain of automated theorem proving, leveraging a hybrid approach. The paper's contribution lies in the integration of LLMs to guide the verification process within a formal verification system, like Dafny.

• •Applies LLMs to enhance automated theorem proving.
• •Employs a hybrid approach combining LLMs with formal verification.
• •Utilizes LLMs to actively guide the verification steps within a system like Dafny.