Shared Knowledge

Shared knowledge, encompassing the transfer and utilization of information across tasks, agents, or datasets, is a central theme in current research across diverse fields. Active research focuses on mitigating the "catastrophic forgetting" problem in continual learning, developing algorithms that effectively leverage both task-specific and task-shared knowledge (e.g., through prototype-guided learning or decoupled prompt tuning), and optimizing knowledge sharing in multi-agent systems and knowledge graph completion. These advancements have significant implications for improving the efficiency and robustness of machine learning models, enhancing human-computer interaction, and facilitating more effective knowledge management in various applications.