Conceptual abstraction and analogy‐making are key abilities underlying humans' abilities to
learn, reason, and robustly adapt their knowledge to new domains. Despite a long history of …

Abstract Abstract Visual Reasoning (AVR) problems are commonly used to approximate
human intelligence. They test the ability of applying previously gained knowledge …

Neither deep neural networks nor symbolic artificial intelligence (AI) alone has approached
the kind of intelligence expressed in humans. This is mainly because neural networks are …

Understanding human tasks through video observations is an essential capability of
intelligent agents. The challenges of such capability lie in the difficulty of generating a …

Analogical reasoning is a fundamental capacity of human cognition that allows us to reason
abstractly about novel situations by relating them to past experiences. While it is thought to …

Humans learn concepts both from labeled supervision and by unsupervised observation of
patterns, a process machines are being taught to mimic by training on large annotated …

Abstract visual reasoning (AVR) domain encompasses problems solving which requires the
ability to reason about relations among entities present in a given scene. While humans …

Recent works have shown that Large Language Models (LLMs) could empower traditional
neuro-symbolic models via programming capabilities to translate language into module …

Recent advances in vision-language learning have achieved notable success on complete-
information question-answering datasets through the integration of extensive world …