# Refining Mixture-of-Experts Routing

As sparse mixture-of-experts becomes the default frontier architecture, research increasingly targets the routing layer itself — conditioning expert selection on richer context to fix known instabilities — making routing quality a recurring lever on model reliability and efficiency.

- Conviction: 34 / 100 (forming)
- Horizon: Emerging (watchlist)
- Tracking since: 2026-07-21T00:00:00.000Z
- Last updated: 2026-07-21T14:00:03.351Z
- Canonical: https://polylog.news/ai/trends/sparse-moe-architecture-refinement
- Publisher: Polylog
- Affected regions: Global

## Recent score history

- 2026-07-21: 34
- 2026-07-22: 33

## Recent evidence

- [confirms] A New Router Aims to Make Mixture-of-Experts Selection More Consistent (2026-07-21): A new router conditions mixture-of-experts selection on multi-level context rather than shallow per-token representations, explicitly targeting a known instability in sparse-model routing.