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AI · arxiv.org · Tuesday, 23 June 2026

Grouped Query Experts Cut Transformer Attention Costs in Half

The paper introduces Grouped Query Experts (GQE), a Mixture‑of‑Experts layer built on grouped‑query attention that routes each token through only a few query‑head experts while keeping key‑value heads dense. On a 250M‑parameter model with a fixed 30B‑token budget, GQE halves query‑head computation yet matches baseline accuracy, enabling cheaper long‑context inference.

Read the source: arxiv.org ↗In the 23 June issue →