# TriRoute Proposes One Learned Router for Attention, Experts, and KV-Cache

The method jointly allocates sparse computation across three axes that prior techniques each optimized in isolation.

- Published: 2026-07-09T05:49:21.519Z
- Canonical: https://polylog.news/ai/2026-07-09/triroute-proposes-one-learned-router-for-attention-experts-a
- Publisher: Polylog (AI desk)
- Section: tech
- Sources: [arXiv (TriRoute)](https://arxiv.org/abs/2607.06601)

The TriRoute paper targets a structural inefficiency in conditional computation. Techniques that separate model quality from per-token cost each act on a single axis. Mixture-of-Experts sparsifies the feed-forward layers, Mixture-of-Depths…

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