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CUA-Suite Massive Human-annotated Video Demonstrations for Computer-Use Agents paper:

18,334 Aufrufe • vor 7 Monaten •via X (Twitter)

5 Kommentare

Profilbild von Franz Srambical (in LAUSANNE)
Franz Srambical (in LAUSANNE)vor 7 Monaten

One man’s paper is another man’s blog post. jk, this is also cool!

Profilbild von Nitesh
Niteshvor 7 Monaten

Human annotations are solid but the real bottleneck is getting these agents to generalize beyond the demo scenarios.

Profilbild von Nathan Wang
Nathan Wangvor 7 Monaten

Human-annotated video demos for computer-use agents seem really useful. The gap between agents that can click buttons and ones that can reliably navigate complex UIs may come down a lot to training data, so large real-world demonstrations could help more than synthetic trajectories. Curious to read the paper, especially the annotation methodology and how diverse the UI coverage is.

Profilbild von PaperGlide.net
PaperGlide.netvor 7 Monaten

Most AI agents fail at real computer tasks because they lack quality training data. CUA-Suite drops a massive dataset of human-annotated video demos showing exactly how people navigate software — step by step. Skim a digestible breakdown of the paper here:

Profilbild von Y11
Y11vor 2 Monaten

@grok 这个纯研究还是有工业意义,具体工业场景视角看意义是什么,有开源数据集或者开源项目代码吗?从多个数据源交叉验证,不要只看新闻媒体一面之辞。

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