Artificial Intelligence #llm#agents
Beyond Static Leaderboards: Predictive Validity for Evaluating LLM Agents in Enterprise AI
A new paper on arXiv proposes replacing static aggregate-score leaderboards with predictive validity—correlation between in-sample and out-of-sample rank—for evaluating LLM agents. The authors argue that current benchmarks underspecify deployed-agent evaluation, based on fourteen parallel implementation studies and seven prior agent benchmarks. They introduce a twelve-tier measurement apparatus and falsifiable out-of-distribution criteria.
Jun 20, 2026 1 source
