EditSR introduces a two-layer framework that enhances neural symbolic regression by combining a predictive model with an edit-based rectification process, improving efficiency and accuracy in generating complex expressions. This approach reduces error accumulation without compromising the advantages of neural models, making it particularly beneficial for intricate symbolic tasks.