11 citations · 25 across the 13 of their papers we have counts for
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cs.AI2026
Grounding Before Generalizing: How AI Differs from Humans in Causal Transfer
Liangru Xiang, Yuxi Ma, Zhihao Cao +2
Extracting abstract causal structures and applying them to novel situations is a hallmark of human intelligence. While Large Language Models (LLMs) and Vision Language Models (VLMs…
cs.AI2022★ 1 cited
On the Complexity of Bayesian Generalization
Yu-Zhe Shi, Manjie Xu, John E. Hopcroft +6
We consider concept generalization at a large scale in the diverse and natural visual spectrum. Established computational modes (i.e., rule-based or similarity-based) are primarily…