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Anticipate and Learn: Unleashing Idle-Time Compute in Proactive Agents

Hugging Face Daily Papers · 2026-05-25 Cached

ProAct is a proactive agent architecture that leverages idle-time computation to anticipate user needs, improving task completion efficiency and accuracy. It introduces ProActEval, a benchmark spanning 200 scenarios across 40 domains, and achieves significant gains over reactive baselines: 14.8% reduction in required turns, 11.7% decrease in user effort, and 28.1% cut in hallucination rates.

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