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20212025
most citedEmergent Analogical Reasoning in Large Language Models

21 citations · 41 across the 8 of their papers we have counts for

collaborators

8 papers

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…

cs.CL2023★ 2 cited

Large Language Model Displays Emergent Ability to Interpret Novel Literary Metaphors

Nicholas Ichien, Dušan Stamenković, Keith J. Holyoak

Recent advances in the performance of large language models (LLMs) have sparked debate over whether, given sufficient training, high-level human abilities emerge in such generic fo…

cs.AI2022★ 21 cited

Emergent Analogical Reasoning in Large Language Models

Taylor Webb, Keith J. Holyoak, Hongjing Lu

The recent advent of large language models has reinvigorated debate over whether human cognitive capacities might emerge in such generic models given sufficient training data. Of p…

cs.CV2022★ 2 cited

Zero-shot visual reasoning through probabilistic analogical mapping

Taylor W. Webb, Shuhao Fu, Trevor Bihl +2

Human reasoning is grounded in an ability to identify highly abstract commonalities governing superficially dissimilar visual inputs. Recent efforts to develop algorithms with this…

cs.AI2021★ 7 cited

Visual analogy: Deep learning versus compositional models

Nicholas Ichien, Qing Liu, Shuhao Fu +3

Is analogical reasoning a task that must be learned to solve from scratch by applying deep learning models to massive numbers of reasoning problems? Or are analogies solved by comp…

cs.SI2021★ 7 cited

Rise of QAnon: A Mental Model of Good and Evil Stews in an Echochamber

J. Hunter Priniski, Mason McClay, Keith J. Holyoak

The QAnon conspiracy posits that Satan-worshiping Democrats operate a covert child sex-trafficking operation, which Donald Trump is destined to expose and annihilate. Emblematic of…

cs.AI2021★ 2 cited

Probabilistic Analogical Mapping with Semantic Relation Networks

Hongjing Lu, Nicholas Ichien, Keith J. Holyoak

The human ability to flexibly reason using analogies with domain-general content depends on mechanisms for identifying relations between concepts, and for mapping concepts and thei…