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News/ProAgent: Harnessing On-Demand Sensory Contexts for Proactive LLM Agent Systems in the Wild
arxiv
PublishedMay 8, 2026 at 4:00 AM
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ProAgent: Harnessing On-Demand Sensory Contexts for Proactive LLM Agent Systems in the Wild

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arxiv.orgfull article ↗
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Publisher summary· verbatim

arXiv:2512.06721v2 Announce Type: replace Abstract: Recent studies have begun to explore proactive large language model (LLM) agents that provide unobtrusive assistance by automatically leveraging contextual information, such as in code editing and in-app suggestions. However, most focus on short, t

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arxivVeriEvolve: Evaluator-First Evolution for Tool-Using Agents2darxivTNODEV: Toolbox for Neural ODE Verification2d
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