Author

Enric Boix-Adserà

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#artificial intelligence Preprint Sep 2026

MoRE: Scaling mixture of experts with hardware-aware low-rank routing

Mixture-of-Experts (MoE) layers are central to frontier language models, and recent architectures push toward more and smaller experts. In this regime, the standard linear router becomes a bottleneck: with $M$ experts and hidden dimension $h$, its per-token cost $\Theta(Mh)$ dominates the MoE layer once $M$ is large. W...

Honam Wong, Surbhi Goel, Enric Boix-Adserà · 0 citations

#artificial intelligence Preprint Sep 2026

Logical subspace in LLMs

The minimal viable subspace (MVS) method, which searches for the lowest-rank activation subspace at a layer that preserves task performance when everything outside that subspace is ablated, suggests a functionally localizable core machinery for logic akin to that in the human brain.

Hope H. Kean, Enric Boix-Adserà · 0 citations