Sparse Mixture-of-Experts (MoE) architectures route each token through a subset of experts at each layer independently. We propose viewing MoE computation through the lens of expert paths—the sequence of expert selections a token makes across all layers. This perspective reveals that, despite N^L possible paths for N experts across L layers,...
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🔧 Path-Constrained Mixture-of-Experts
⏱️ vor 26d 10h (06.07.2026 um 02:00 Uhr) 📂 🔧 AI Nachrichten 📡 Feed 🔗 Quelle: machinelearning.apple.com