3 papers
cs.AI2026
CogGym: Towards Large-Scale Comparative Evaluation of Human and Machine Cognition
Lance Ying, Jinzhou Wu, Yingshan Susan Wang +53
Understanding and modeling human intelligence are parallel goals shared by artificial intelligence (AI) and cognitive science. As AI systems grow increasingly capable, in what ways…
cs.CV2025
Few-Shot Learning of Visual Compositional Concepts through Probabilistic Schema Induction
Andrew Jun Lee, Taylor Webb, Trevor Bihl +2
The ability to learn new visual concepts from limited examples is a hallmark of human cognition. While traditional category learning models represent each example as an unstructure…
cs.CL2024
Evidence from counterfactual tasks supports emergent analogical reasoning in large language models
Taylor Webb, Keith J. Holyoak, Hongjing Lu
We recently reported evidence that large language models are capable of solving a wide range of text-based analogy problems in a zero-shot manner, indicating the presence of an eme…