L2R: Low-Rank and Lipschitz-Controlled Routing for Mixture-of-Experts
arXiv:2601.21349v3 Announce Type: replace-cross Abstract: Mixture-of-Experts (MoE) models scale neural networks by conditionally activating a small subset of experts, where the router plays a central role in determining expert specialization and…
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Published1 d ago (Fri, 18 Sep 2026 04:00:00 GMT)
RetrievedFri, 18 Sep 2026 08:00:48 GMT via rss
ClassifiedFri, 18 Sep 2026 08:01:04 GMT by heuristic
AuthorMinghao Yang, Ren Togo, Guang Li, Takahiro Ogawa, Miki Haseyama