AINeutralarXiv – CS AI · 6h ago7/10
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Beyond Static Leaderboards: Predictive Validity for the Evaluation of LLM Agents
Researchers challenge the validity of aggregate-score leaderboards for evaluating LLM agents, arguing that rankings fail to predict performance in real-world deployment scenarios. Through fourteen parallel implementation studies and analysis of prior benchmarks, they propose measuring predictive validity—the correlation between test and out-of-distribution performance—rather than in-sample scores, establishing new evaluation standards for agentic AI systems.