Teaching GUI Agents When Not to Act
💡See how a lightweight inference-time guard helps GUI agents stop instead of blindly executing bad instructions.
⚡ 30-Second TL;DR
What Changed
CONFLICTGUI covers both conflicts within an instruction and conflicts between instructions and GUI context.
Why It Matters
The work highlights that high task-completion rates can conceal unsafe behavior in GUI agents. Conflict-aware termination could improve reliability in automation systems where erroneous clicks, submissions, or purchases have real-world consequences.
What To Do Next
Evaluate your GUI agent on CONFLICTGUI-style cases and add an inference-time feasibility check that can explicitly terminate instead of producing the next UI action.
Key Points
- •CONFLICTGUI covers both conflicts within an instruction and conflicts between instructions and GUI context.
- •Five widely used GUI agents showed severe overcompliance, continuing execution even when tasks were infeasible.
- •CONFLICTGUARD combines a feasibility verification protocol with conditional action modulation to encourage safe termination.
- •The inference-time intervention improved average conflict-task success without reducing normal GUI-task performance.
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Original source: ArXiv AI ↗
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