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CoArena: Evaluating Computer-Use and Multi-Agent Systems in Real Time

Kovuru, Nitish et al.
arXiv (OAI Expanded) · Papers
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machine-learning
Static benchmarks for computer-use agents fix a task set at release and score every system against it once. That makes them reproducible, and it lets them drift from what they should measure: a fixed task set ages, leaks into training corpora, and cannot follow how people actually use agents from we
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