Declarative Attention Lets LLMs Cut KV Reads by 52%

A new arXiv paper from Google researchers proposes Declarative Attention, letting LLMs declare which parts of context to attend to during chain-of-thought, cutting KV cache reads by about 52% during inference.

2026-09-05 ~ 2026-09-05 · 3 related posts

• Declarative Attention Cuts LLM Attention Work by 52% — rohanpaul_ai · 2026-09-05
• Language Models Can Control Their Own Attention: 52% Less KV Cache Reading — rohanpaul_ai · 2026-09-05
• Declarative Attention lets LLMs declare their own focus, cutting 52% of KV cache reads — eigenlaplace · 2026-09-05