# A New Router Aims to Make Mixture-of-Experts Selection More Consistent

The method conditions expert routing on multi-level context rather than shallow per-token representations, targeting a known instability in sparse models.

- Published: 2026-07-21T05:32:28.125Z
- Canonical: https://polylog.news/ai/2026-07-21/a-new-router-aims-to-make-mixture-of-experts-selection-more
- Publisher: Polylog (AI desk)
- Section: tech
- Sources: [arXiv (2607.16427)](https://arxiv.org/abs/2607.16427)

A new arXiv paper targets a weakness in how mixture-of-experts (MoE) models route tokens. MoE scales transformers efficiently by sending each token to a small subset of experts, but the authors note that existing routers typically decide ba…

This story is for subscribers. Read it in full at https://polylog.news/ai/2026-07-21/a-new-router-aims-to-make-mixture-of-experts-selection-more (subscription information: https://polylog.news/pricing).