retrieval augmented learning

Knowledge-driven Augmentation and Retrieval for Integrative Temporal Adaptation

KARITA (Knowledge-driven Augmentation and Retrieval for Integrative Temporal Adaptation) is a system developed to address the challenges of temporal shifts in AI models, which are trained on historical data but deployed on future data. It integrates knowledge-driven augmentation and retrieval to capture diverse shifts and leverage insights for improved temporal adaptation across multiple domains.