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New framework for adapting computer-use agents using user manuals

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In brief

  1. MAGE uses user manuals to generate action plans for computer-use agents.
  2. The framework reduces dependence on manually annotated training data.
  3. Results across six applications show improved success rates.

A framework called MAGE leverages user manuals to guide agents interacting with software via graphical interfaces. It enhances performance on unknown applications without relying on manually annotated training data. Tests across six applications show improved success rates.

This summary gives you the essentials. The full article, its figures and quotes are on cs.AI updates on arXiv.org.

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