Proof Checker

Proof checkers are automated systems designed to verify the correctness of mathematical proofs, program code, or the outputs of machine learning models, thereby increasing trust and reliability. Current research focuses on improving the efficiency and effectiveness of these checkers through techniques like reinforcement learning, prover-verifier game frameworks, and the incorporation of natural language feedback to enhance the interpretability of generated proofs. This work is significant because it addresses the growing need for verifiable results in diverse fields, ranging from formal software verification to the secure deployment of machine learning models in safety-critical applications.