Paper Lets Language Models Control Their Own Attention, Cutting Decode Cost 52%

KAIST's Declarative Attention lets language models declare which context regions matter during inference, skipping most KV cache reads and cutting decode cost by up to 52% in a zero-shot setting.

2026-09-03 ~ 2026-09-04 · 3 related posts

• KAIST's Declarative Attention lets LLMs skip most KV cache reads — kaist-ai · 2026-09-03
• Declarative Attention: LLMs Slash KV Cache Reads 31-52% Zero-Shot — chaumian · 2026-09-04
• Language models can control their own attention: 52% decoding cost cut on Gemma 4 31B — jm_alexia · 2026-09-04