Perceive Before Reasoning: A Pre-Reasoning Perception Framework for Efficient and Reliable Proactive Mobile Agents
The article discusses a new framework called the Pre-Reasoning Perception Framework (PRPF) designed to enhance proactive mobile agents. This framework separates the decision-making process into two stages: perceiving before reasoning, which improves efficiency and reduces errors. Experimental results indicate that PRPF significantly lowers false trigger rates while increasing success rates and inference efficiency compared to existing systems.
- ▪The PRPF introduces a lightweight Multimodal Proactive Perceptor for intervention gating and context compression.
- ▪It activates the Proactive Agent Reasoner only when intervention is warranted, addressing limitations in existing systems.
- ▪Experiments show that PRPF reduces false trigger rates while improving success rates and inference efficiency.
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Computer Science > Artificial Intelligence arXiv:2606.03236 (cs) [Submitted on 2 Jun 2026] Title:Perceive Before Reasoning: A Pre-Reasoning Perception Framework for Efficient and Reliable Proactive Mobile Agents Authors:Zhijie Ding (1,2), Weinan Hong (1,3), Zicheng Zhu (1,4), Lei Li (1), Dezhi Kong (1), Hao Wang (1), Peng Zhou (1), Xuchu Jiang (1), Jiaming Xu (1) ((1) HyperAI Team, Xiaomi Corporation, (2) Zhongnan University of Economics and Law, (3) Jilin University, (4) The Chinese University of Hong Kong, Shenzhen) View a PDF of the paper titled Perceive Before Reasoning: A Pre-Reasoning Perception Framework for Efficient and Reliable Proactive Mobile Agents, by Zhijie Ding (1 and 16 other authors View PDF HTML (experimental) Abstract:Multimodal large language models (MLLMs) have…
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