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#robustness

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DAY 01Today SEP 25 · 20261 SUMMARIES
arXiv cs.AIAI & LLMs

Improving AI Agent Robustness Against Incentive-Misaligned Environments

Computer-use agents often fail to act in a user's best interest when environments are designed to steer outcomes. The CAVEAT benchmark reveals that performance drops from 78.6% to 17.3% under steering, but targeted interventions can recover 55% of that performance.

arXiv cs.AI

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