Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test | Paper Citation Record

Observation c5da5e46-90b4-43c6-8f96-d13d3e523172 · outbound

This paper cites Demystifying cognitive flexibility: Implications for clinical and developmental neuroscience,.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Demystifying cognitive flexibility: Implications for clinical and developmental neuroscience,

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This paper cites Cognitive and behavioural flexibility: neural mechanisms and clinical considerations,.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Cognitive and behavioural flexibility: neural mechanisms and clinical considerations,

Reference 2

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This paper cites Exploring the nature of cognitive flexibility,.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Exploring the nature of cognitive flexibility,

Reference 3

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This paper cites Prefrontal deep projection neurons enable cognitive flexibility via persistent feedback monitoring,.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Prefrontal deep projection neurons enable cognitive flexibility via persistent feedback monitoring,

Reference 4

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This paper cites Prefrontal cortex and neural mech- anisms of executive function,.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Prefrontal cortex and neural mech- anisms of executive function,

Reference 5

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Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Large language models are visual reasoning coordinators,

Reference 6

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This paper cites Evaluating cognitive maps and planning in large language models with cogeval,.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Evaluating cognitive maps and planning in large language models with cogeval,

Reference 7

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This paper cites A survey on evaluation of large language models,.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test A survey on evaluation of large language models,

Reference 8

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This paper cites Integration of cognitive tasks into artificial general intelligence test for large models,.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Integration of cognitive tasks into artificial general intelligence test for large models,

Reference 9

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Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Hello gpt-4o,

Reference 10

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This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 11

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Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Announcements: Claude 3.5 sonnet,

Reference 12

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This paper cites A simple objective technique for measuring flexibility in thinking,.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test A simple objective technique for measuring flexibility in thinking,

Reference 13

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This paper cites Considerations for using the wisconsin card sorting test to assess cognitive flexibility,.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Considerations for using the wisconsin card sorting test to assess cognitive flexibility,

Reference 14

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This paper cites The wcst-64: A standardized short-form of the wisconsin card sorting test,.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test The wcst-64: A standardized short-form of the wisconsin card sorting test,

Reference 15

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This paper cites Wisconsin card sorting test as a measure of executive function impairments in stroke patients,.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Wisconsin card sorting test as a measure of executive function impairments in stroke patients,

Reference 16

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This paper cites Using fmri to decompose the neural processes underlying the wisconsin card sorting test,.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Using fmri to decompose the neural processes underlying the wisconsin card sorting test,

Reference 17

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This paper cites Common and distinct mechanisms of cognitive flexibility in prefrontal cortex,.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Common and distinct mechanisms of cognitive flexibility in prefrontal cortex,

Reference 18

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This paper cites Flexible adjustment of the effective connectivity between the fronto-parietal and visual regions supports cognitive flexibility,.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Flexible adjustment of the effective connectivity between the fronto-parietal and visual regions supports cognitive flexibility,

Reference 19

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This paper cites Executive functions,.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Executive functions,

Reference 20

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This paper cites On the historical and conceptual background of the wisconsin card sorting test,.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test On the historical and conceptual background of the wisconsin card sorting test,

Reference 21

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Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Adult clinical neuropsychology: lessons from studies of the frontal lobes,

Reference 22

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This paper cites The dimensional change card sort (dccs): A method of assessing executive function in children,.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test The dimensional change card sort (dccs): A method of assessing executive function in children,

Reference 23

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Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Emo- tional processing and executive functions in major depressive disorder: dorsal prefrontal activity correlates with performance in the intra–extra dimensional set shift,

Reference 24

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Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Testing theory of mind in large language models and humans,

Reference 25

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Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test An empirical investigation of the impact of chatgpt on creativity,

Reference 26

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Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning

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Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Vision language models are blind: Failing to translate detailed visual features into words

Reference 28

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Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Chal- lenging chatgpt’intelligence’with human tools: a neuropsychological investigation on prefrontal functioning of a large language model,

Reference 29

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Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Using large language models to simulate multiple humans and replicate human subject studies,

Reference 30

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This paper cites Pre- train, prompt, and predict: A systematic survey of prompting methods in natural language processing,.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Pre- train, prompt, and predict: A systematic survey of prompting methods in natural language processing,

Reference 31

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Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Chain-of-thought prompting elicits reasoning in large language models,

Reference 32

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This paper cites Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future

Reference 33

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This paper cites Large lan- guage models are zero-shot reasoners,.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Large lan- guage models are zero-shot reasoners,

Reference 34

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Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 35

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This paper cites M$^3$CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test M$^3$CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought

Reference 36

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This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 37

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Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Automatic Prompt Optimization with "Gradient Descent" and Beam Search

Reference 38

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Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Large Language Models Are Human-Level Prompt Engineers

Reference 39

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Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Unresolved cited work

Reference 40

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This paper cites An integrative theory of prefrontal cortex function,.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test An integrative theory of prefrontal cortex function,

Reference 41

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This paper cites Is there a dysexecutive syndrome?.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Is there a dysexecutive syndrome?

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:19:33.753916Z

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This paper cites The involvement of orbitofrontal cerebrum in cognitive tasks,.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test The involvement of orbitofrontal cerebrum in cognitive tasks,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:19:33.642501Z

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This paper cites Wisconsin card sorting test performance in patients with focal frontal and posterior brain damage: effects of lesion location and test structure on separable cognitive processes,.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Wisconsin card sorting test performance in patients with focal frontal and posterior brain damage: effects of lesion location and test structure on separable cognitive processes,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:19:33.509939Z

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This paper cites Effects of different brain lesions on card sorting: The role of the frontal lobes,.

Visual Large Language Models Exhibit Human-Level Cognitive Flexibility in the Wisconsin Card Sorting Test Effects of different brain lesions on card sorting: The role of the frontal lobes,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:19:33.381803Z

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