Domain Model

Domain models represent a crucial aspect of various fields, aiming to capture the essential characteristics and relationships within a specific area of interest, facilitating tasks like planning, prediction, and decision-making. Current research focuses on improving domain model creation through automated methods, such as leveraging large language models to generate models from textual descriptions, and enhancing their adaptability across different domains (cross-domain adaptation) using techniques like multi-domain training and modular architectures. These advancements are significant for improving the efficiency and robustness of AI systems across diverse applications, from software architecture design to medical image analysis and personalized recommendation systems.