ThinkTwice: Jointly Optimizing Large Language Models for Reasoning and Self-Refinement

ThinkTwice is a two-phase framework that enhances large language models' reasoning abilities and their capacity for self-refinement, aiming to improve the accuracy and reliability of LLMs in complex problem-solving tasks, making them more robust for real-world deployment.