Agentic Learning: Advancing Multimodal Semantic Memory

This ArXiv paper likely presents a novel approach to multimodal learning, potentially enhancing AI's ability to understand and reason with diverse data types. The 'Grow-and-Refine' aspect suggests an iterative learning process, which could lead to improved performance and adaptability.

• •Focuses on 'agentic learning', implying autonomous or goal-driven learning capabilities.
• •Employs 'Grow-and-Refine' methodology for iterative improvement of semantic memory.
• •Deals with 'multimodal' data, suggesting the integration of various data types like text, images, and audio.