Proof Strategy

Proof strategy research focuses on automating the process of constructing mathematical proofs, primarily using large language models (LLMs) and reinforcement learning techniques within proof assistants like Lean and Coq. Current efforts concentrate on improving the efficiency and accuracy of proof generation through methods such as backward chaining, incorporating domain-specific heuristics, and leveraging feedback from the proof assistant to refine LLMs' performance. This work holds significant potential for advancing automated theorem proving, accelerating formal verification in mathematics and computer science, and ultimately enhancing the reliability of complex systems.