kapynResearch

Path-Constrained Mixture-of-Experts

Path-Constrained Mixture-of-Experts proposes a new lens for understanding MoE architectures. Researchers observed that tokens in practice utilize a surprisingly small subset of possible expert paths, revealing statistical inefficiencies. This work motivates new architectures designed to better constrain the effective path space for improved efficiency.

Apple ML Research·Jul 6, 2026

Opening Kapyn…