Systematic Generalization

Systematic Generalization refers to the ability of a model to effectively reason and make predictions when faced with unseen combinations of inputs. Its goal is to enhance the generalization performance of the model, ensuring it maintains high accuracy and robustness in new situations. In the field of artificial intelligence, particularly in natural language processing and machine learning, Systematic Generalization holds significant application value, as it can improve the adaptability and reliability of models for complex tasks.