• Computer Science > Artificial Intelligence [Submitted on 25 Feb 2026] Title:ProactiveMobile: A Comprehensive Benchmark for Boosting Proactive Intelligence on Mobile Devices View PDF HTML (experimental)Abstract:Multimodal large language models (MLLMs) have made significant progress in mobile agent development, yet their capabilities are predominantly confined to a reactive paradigm, where they merely execute explicit user commands • The emerging paradigm of proactive intelligence, where agents autonomously anticipate needs and initiate actions, represents the next frontier for mobile agents • However, its development is critically bottlenecked by the lack of benchmarks that can address real-world complexity and enable objective, executable evaluation • To overcome these challenges, we introduce ProactiveMobile, a comprehensive benchmark designed to systematically advance research in this domain • ProactiveMobile formalizes the proactive task as inferring latent user intent across four dimensions of on-device contextual signals and generating an executable function sequence from a comprehensive function pool of 63 APIs • The benchmark features over 3,660 instances of 14 scenarios that emb

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  • Computer Science > Artificial Intelligence [Submitted on 25 Feb 2026] Title:ProactiveMobile: A Comprehensive Benchmark for Boosting Proactive Intelligence on Mobile Devices View PDF HTML (experimental)Abstract:Multimodal large language models (MLLMs) have made significant progress in mobile agent development, yet their capabilities are predominantly confined to a reactive paradigm, where they merely execute explicit user commands. The emerging paradigm of proactive intelligence, where agents autonomously anticipate needs and initiate actions, represents the next frontier for mobile agents. How

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