Preprint
Aug 2026
Mamba-based Selective State Space Modeling Improves the Accuracy-Complexity Tradeoff of SmolVLA Vision-Language-Action Experts
Mamba's selective state-space modeling is investigated as an alternative to causal self-attention within the action expert of the popular SmolVLA model, widely used as a reference model for its highly accurate yet low complexity nature.
Farida Mohsen, Thowayba M. Elkaffash, M. C. Qazani et al.
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