Radar ·
On-Demand Attention selects when to use full context
Published on September 20, 2026, the post describes a technique that uses a lightweight head to trigger full context when needed, aiming to speed decoding while recovering performance lost with local attention.
On September 20, 2026, a post about On-Demand Attention described training a lightweight head to decide when to trigger full context. The proposal aims to speed decoding with long context and recover much of the performance lost with local attention, according to the text.
The post presents a balance between efficiency and performance, but the available material gives no figures or experimental details. To verify the claims' scope, consult the original publication and check the methods and results it provides; the summary alone does not support a numerical estimate of the gains.
Original source: On-Demand Attention escolhe quando usar o contexto completo