Author

Weizhi Zhang

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#artificial intelligence Preprint Oct 2026

Seeing, Maintaining, and Learning: The Evolution of Multimodal Agent Memory

Multimodal models and agents have emerged to enable AI systems to learn from and interact with the real world more like humans by integrating information across multiple modalities. However, enabling multimodal agents to continually acquire useful information from complex, heterogeneous multimodal data remains a signif...

Ming-Hao Guo, Qing-Yue Jiao, Xiu-Jin Liu et al. · 0 citations

Review

A Survey of Multimodal Models on Language and Vision: A Unified Modeling Perspective

This survey investigates the current research landscape of multimodality modeling from three perspectives: the first group of multimodal models adopts a heterogeneous architecture to bridge different modality data, the second leverages LLM for multimodality modeling via a unified language modeling objective, and the th...

Zhongfen Deng, Yibo Wang, Yueqing Liang et al. · 2 citations