Self-supervised visual similarity partially explains word generalization in humans and machines
Patricio M. Vera · hf · 2026-11-12
A study examines how visual similarity explains word generalization: using a self-supervised visual encoder to measure similarity, the authors find it partially accounts for generalization in both adult word extension and artificial word learners, while the composition of teaching examples contributes additional structure beyond that distance.
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