CUE-M represents a significant advancement in multimodal AI by integrating sophisticated contextual understanding with enhanced retrieval capabilities, all while prioritizing security and safety.

• Improves user intent interpretation across text and visual content
• Employs diverse, adaptive retrieval strategies for more precise results
• Implements robust filtering pipeline to block inappropriate responses
• Enforces organizational safety policies through multimodal classifiers

This research addresses critical security challenges in AI deployment by creating a framework that maintains information accuracy while preventing harmful outputs, making it particularly valuable for sensitive enterprise applications requiring controlled information access.

CUE-M: Contextual Understanding and Enhanced Search with Multimodal Large Language Model