uxCUA is a trained computer use agent that assesses GUI usability more accurately than larger models by learning to prioritize and execute important user interactions on labeled interface datasets.
URL https://proceedings.neurips.cc/paper_files/paper/ 2024/file/1704ddd0bb89f159dfe609b32c889995-Paper-Conference.pdf
3 Pith papers cite this work, alongside 8 external citations. Polarity classification is still indexing.
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A survey of 336 GUI-agent papers finds rapid growth alongside weak engineering support for recovery, human oversight, maintainability, and privacy, and calls for lifecycle-centered testing and governance.
A three-stage training pipeline internalizes world-model simulation and success estimation in LLM agents for improved planning on search and math tasks.
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Training Computer Use Agents to Assess the Usability of Graphical User Interfaces
uxCUA is a trained computer use agent that assesses GUI usability more accurately than larger models by learning to prioritize and execute important user interactions on labeled interface datasets.
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Software Engineering for and with GUI Agent
A survey of 336 GUI-agent papers finds rapid growth alongside weak engineering support for recovery, human oversight, maintainability, and privacy, and calls for lifecycle-centered testing and governance.
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Internalizing the Future: A Unified Agentic Training Paradigm for World Model Planning
A three-stage training pipeline internalizes world-model simulation and success estimation in LLM agents for improved planning on search and math tasks.