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

18,334 次观看 • 7 个月前 •via X (Twitter)

5 条评论

Franz Srambical (in LAUSANNE) 的头像
Franz Srambical (in LAUSANNE)7 个月前

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

Nitesh 的头像
Nitesh7 个月前

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

Nathan Wang 的头像
Nathan Wang7 个月前

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.

PaperGlide.net 的头像
PaperGlide.net7 个月前

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:

Y11 的头像
Y112 个月前

@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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