PRPF uses a lightweight Multimodal Proactive Perceptor for intervention gating and context compression, activating the Proactive Agent Reasoner only when needed, reducing false trigger rates and improving efficiency on the ProactiveMobile benchmark.
arXiv preprint arXiv:2601.05755 , year=
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
WARD is a guard model trained on 177K web samples and adversarially hardened via attacker-guard co-evolution to achieve high recall on prompt injections with low false positives and no added latency.
citing papers explorer
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Perceive Before Reasoning: A Pre-Reasoning Perception Framework for Efficient and Reliable Proactive Mobile Agents
PRPF uses a lightweight Multimodal Proactive Perceptor for intervention gating and context compression, activating the Proactive Agent Reasoner only when needed, reducing false trigger rates and improving efficiency on the ProactiveMobile benchmark.