Google Paper: Explicit State Cuts Agent Tokens 16x

Google's SKILL.state paper (accepted by EMNLP) argues long-horizon agents don't need ever-growing conversation history, using compact explicit state instead, cutting token use 16x while improving accuracy.

2026-08-29 ~ 2026-08-29 · 2 related posts

• Google Paper: Replace Agent Chat History With Explicit State, Cut Tokens 16x — rohanpaul_ai · 2026-08-29

1 near-duplicate retellings: rohanpaul_ai