SOURCE-LINKED INTELLIGENCE
From Models to Systems: A Comprehensive Survey of Efficient Multimodal Learning
The rapid expansion of multimodal models has surfaced formidable bottlenecks in computation, memory, and deployment, catalyzing the rise of Efficient Multimodal Learning (EML) as a pivotal research frontier. Despite intensive progress, a cohesive understanding of what, how, and where efficiency is manifested across the learning stack remains fragmented. This survey systematizes the EML landscape by introducing the first structured, model-to-system taxonomy. We distill insights from over 300 seminal works into three hierarchical levels--model, algorithm, and system--addressing architectural par
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-16T21:27:22.000Z
- arXiv · Artificial Intelligence · 2026-09-16T21:27:22.000Z
First collected: 2026-09-19T20:26:32.566Z. This is not the publication date.