AINeutralarXiv – CS AI · 9h ago6/10
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Benchmarking World-Model Learning with Environment-Level Queries
Researchers introduce WorldTest, a new evaluation protocol for assessing whether AI agents learn general-purpose world models capable of answering diverse environment-level queries. AutumnBench, an instantiation of this framework, benchmarks 43 grid-world environments across 129 tasks and reveals that frontier AI models significantly underperform humans, with gaps attributed to differences in exploration and belief-updating strategies.