The AI Science Exam for El Nino-Southern Oscillation (SciExam for ENSO) is a new benchmark designed to evaluate language-model agents' ability to conduct open-ended scientific research and build valid climate models. Agents are given observational data and a time budget to develop models of ENSO, which are then assessed on their ability to reproduce statistics, recover unobserved variables, and forecast future events. Several agent systems outperformed the existing published model, with their generated models offering insights into ongoing scientific debates about ENSO's mechanisms. AI
IMPACT Establishes a new method for evaluating AI's capability in scientific discovery, potentially accelerating research in complex domains like climate modeling.
RANK_REASON New benchmark paper for evaluating AI agents in scientific research. [lever_c_demoted from research: ic=1 ai=1.0]
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