The field of compositional generalization is currently experiencing a renaissance in AI, as novel problem settings and algorithms motivated by various practical applications are being introduced, building on top of the classical compositional generalization problem. This article aims to provide a comprehensive review of top recent developments in multiple real-life applications of the compositional generalization. Specifically, we introduce a taxonomy of common applications and summarize the state-of-the-art for each of those domains. Furthermore, we identify important current trends and provide new perspectives pertaining to the future of this burgeoning field.

翻译：目前,在大赦国际中,对构成的概括化领域正在出现复兴,因为除了传统的构成性概括化问题之外,还在采用各种实际应用驱动的新问题设置和算法,这一条旨在全面审查组成性概括化多种现实应用方面的最新最新动态,具体地说,我们引入了共同应用分类法,并总结了每个领域的最新技术。此外,我们确定了当前的重要趋势,并提出了与这个新兴领域的未来有关的新视角。