The dawn of Large Multimodal Agents (LMAs) sees AI agents evolving beyond text, engaging with images, videos, and sound. This expansion into the multimodal domain prompts a deeper investigation into reasoning and decision-making capabilities. Discover this study’s major pivot points:

• Current Landscape: Categorizes diverse LMAs research.
• Collaboration: Integrates multiple LMAs for enhanced performance.
• Assessment: Establishes a standardized framework for evaluations.
• Future Directions: Outlines avenues for robust LMA development.

Recognizing the scope of multimodal AI is important for addressing nuanced user needs and enhancing interactions. This survey is essential for steering future explorations in LMAs, ensuring both broadened perspectives and comprehensive solutions. Reference the awesome list.