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papersSEP 10 04:00 UTC

Running the Gauntlet: Re-evaluating the Capabilities of Agents Beyond Familiar Environments

A revised arXiv paper introduces a benchmark designed to test AI agents on tasks outside the well-known applications that dominate current evaluations. The authors contend that testing in familiar, comparatively simple settings can mask how poorly agents generalize to novel situations. The work aims to give a more accurate picture of how agentic systems will behave in real-world deployment.

arXivAI agentsAI benchmarkingagent evaluationout-of-distribution generalizationreal-world-deployment

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