AgentSearchBench is a research benchmark designed to evaluate how well AI agents perform search tasks in realistic, unconstrained environments. The work establishes standardized evaluation metrics for assessing agent search capabilities, addressing a key gap in benchmarking real-world agent performance.
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AgentSearchBench: A Benchmark for AI Agent Search in the Wild
AgentSearchBench establishes the first standardized benchmark for evaluating how AI agents perform real-world search in unconstrained environments, addressing a critical gap in measuring practical agent capabilities beyond controlled settings.
Monday, April 27, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.AIBY sys://pipeline
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