AINeutralarXiv – CS AI · 3h ago6/10
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Tackling Multimodal Learning Challenges with Mixture-of-Expert: A Survey
A comprehensive survey examines how Mixture-of-Experts (MoE) architectures address multimodal learning challenges by enabling scalable modeling, enriching representation learning across modalities, and adapting to imperfect data scenarios. The research identifies critical gaps in interpretable routing, expert communication, and lifelong multimodal learning, positioning MoE as a foundational framework for building more efficient and flexible AI systems.