1. Self-Refine is a novel iterative refinement approach that uses self-feedback to improve natural language processing models.
2. The approach involves generating multiple candidate outputs and using a self-feedback mechanism to select the best one for further refinement.
3. Self-Refine outperforms existing state-of-the-art methods on several benchmark datasets, demonstrating its effectiveness in improving model performance.