Path-Constrained Mixture-of-Experts

Apple researchers have introduced Path-Constrained Mixture-of-Experts, a method that organizes how data travels through neural network layers by tracking the specific sequences of computational experts used for each token. By imposing constraints on these paths, the model improves efficiency and consistency during training and inference compared to traditional architectures that route tokens independently at every layer.