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New benchmark tests AI agents on dynamic short-video platforms

By PulseAugur Editorial · [2 sources] ·

Researchers have introduced "LivingScreen," a new benchmark designed to evaluate GUI agents on dynamic short-video platforms. Unlike previous benchmarks that assume static screens, LivingScreen accounts for continuously playing content, requiring agents to make real-time decisions about observation and interaction. Evaluations of current frontier models revealed that none matched human performance in cost-accuracy, with common failures including inappropriate observation durations, highlighting a need for improved observation control in future GUI agents. AI

IMPACT Highlights a gap in current GUI agent capabilities for dynamic environments, potentially guiding future research in observation control.

RANK_REASON The cluster contains an academic paper introducing a new benchmark for AI agents.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New benchmark tests AI agents on dynamic short-video platforms

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The cluster contains an academic paper introducing a new benchmark for AI agents.
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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Jiashu Yao, Heyan Huang, Daiqing Wu, Wangke Chen, Huaxi Ai, Haoyu Wen, Zeming Liu, Yuhang Guo ·

    Benchmarking Living-Screen-Native GUI Agents on Short-Video Platforms

    arXiv:2606.04701v1 Announce Type: cross Abstract: GUI agents today assume a static screen, where the world is frozen between two actions. However, real interfaces such as short-video applications violate this assumption, as their content keeps playing, and a competent user must d…

  2. arXiv cs.CL TIER_1 English(EN) · Yuhang Guo ·

    Benchmarking Living-Screen-Native GUI Agents on Short-Video Platforms

    GUI agents today assume a static screen, where the world is frozen between two actions. However, real interfaces such as short-video applications violate this assumption, as their content keeps playing, and a competent user must decide what to watch and for how long. We formalize…

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