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Shichun Liu

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#natural language process... Preprint Aug 2026

Agents in the Large: Perception-Centered Architecture for Persistent Agents

Pera describes a persistent agent organized around perception and control components that continually perceive service-relevant signals from episodic task executions, internal context, and changes in the surrounding environment, and use these signals to construct lifecycle tasks.

Shihan Dou, Haoxiang Jia, Shichun Liu et al. · 0 citations
Preprint Aug 2026

ContextWeave: A Real-World Workflow Benchmark

ContextWeave is introduced, a longitudinal benchmark that evaluates whether recalled experience improves downstream agent performance in realistic office-work streams and motivates memory systems that optimize not only retrieval relevance but also reliable use during execution.

Bo Wang, Yu Yao, Enxi Wang et al. · 0 citations

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