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The Hong Kong University of Science and Technology (
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By framing geo-localization as a human-like reasoning challenge, GeoPAVE significantly reduces perceptual errors and enhances decision accuracy in ambiguous visual contexts.
Current scientific agents struggle to maintain a coherent narrative across evidence and calculations, with only 34.81% achieving strict accuracy in complex tasks.
Static benchmarks mislead model performance assessments, as LiveHouse-TS reveals dramatic shifts in rankings when evaluated in real-time environments.
Exploiting client heterogeneity as complementary observations leads to a breakthrough in spatio-temporal forecasting, outperforming traditional methods.
