MindTopo: Can Foundation Models Reason in Topological Space?
Spatial reasoning depends not only on metric properties such as distance, angle, and shape, but also on topological relations that remain invariant under continuous deformation. Cognitive science identifies these relations as foundational to spatial understanding, yet foundation-model evaluations largely focus on metric or viewpoint-dependent relations. We introduce MindTopo, a
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Spatial reasoning depends not only on metric properties such as distance, angle, and shape, but also on topological relations that remain invariant under continuous deformation. Cognitive science identifies these relations as foundational to spatial understanding, yet foundation-model evaluations largely focus on metric or viewpoint-dependent relations. We introduce MindTopo, a
This paper introduces a novel benchmark, MindTopo, for evaluating foundation models' topological reasoning, a critical and often overlooked aspect of spatial understanding. For ML engineers, this highlights a growing area of model evaluation beyond traditional metrics, pushing towards more human-like cognitive abilities in AI.