A Survey on Compositional Generalization in Applications

Understand

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.