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Michal Kosinski

Showing results (1-10 of 45) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|July 3, 2025
Reply to Pang et al.: Generalizable ability to track beliefs could be the most parsimonious explanationMichal Kosinski
Proceedings of the National Academy of Sciences of the United States of America|October 29, 2024
Evaluating large language models in theory of mind tasksMichal Kosinski
Scientific Reports|November 26, 2021
Author Correction: Facial recognition technology can expose political orientation from naturalistic facial imagesMichal Kosinski
Psychological Science|October 5, 2017
Facial Width-to-Height Ratio Does Not Predict Self-Reported Behavioral TendenciesMichal Kosinski
Scientific Reports|January 12, 2021
Facial recognition technology can expose political orientation from naturalistic facial imagesMichal Kosinski
Journal of Personality and Social Psychology|February 2, 2018
Deep neural networks are more accurate than humans at detecting sexual orientation from facial imagesYilun Wang, Michal Kosinski
Scientific Reports|March 21, 2024
Large language models know how the personality of public figures is perceived by the general publicXubo Cao, Michal Kosinski
PNAS Nexus|October 3, 2024
Large language models and humans converge in judging public figures' personalitiesXubo Cao, Michal Kosinski
Scientific Reports|March 28, 2023
Overlap in meaning is a stronger predictor of semantic activation in GPT-3 than in humansJan Digutsch, Michal Kosinski
Nature Computational Science|January 4, 2024
Human-like intuitive behavior and reasoning biases emerged in large language models but disappeared in ChatGPTThilo Hagendorff, Sarah Fabi, Michal Kosinski
Pageof 5

Showing results (1-10 of 45) with videos related to

Sort By:
Pageof 5
Proceedings of the National Academy of Sciences of the United States of America|July 3, 2025
Reply to Pang et al.: Generalizable ability to track beliefs could be the most parsimonious explanationMichal Kosinski
Proceedings of the National Academy of Sciences of the United States of America|October 29, 2024
Evaluating large language models in theory of mind tasksMichal Kosinski
Scientific Reports|November 26, 2021
Author Correction: Facial recognition technology can expose political orientation from naturalistic facial imagesMichal Kosinski
Psychological Science|October 5, 2017
Facial Width-to-Height Ratio Does Not Predict Self-Reported Behavioral TendenciesMichal Kosinski
Scientific Reports|January 12, 2021
Facial recognition technology can expose political orientation from naturalistic facial imagesMichal Kosinski
Journal of Personality and Social Psychology|February 2, 2018
Deep neural networks are more accurate than humans at detecting sexual orientation from facial imagesYilun Wang, Michal Kosinski
Scientific Reports|March 21, 2024
Large language models know how the personality of public figures is perceived by the general publicXubo Cao, Michal Kosinski
PNAS Nexus|October 3, 2024
Large language models and humans converge in judging public figures' personalitiesXubo Cao, Michal Kosinski
Scientific Reports|March 28, 2023
Overlap in meaning is a stronger predictor of semantic activation in GPT-3 than in humansJan Digutsch, Michal Kosinski
Nature Computational Science|January 4, 2024
Human-like intuitive behavior and reasoning biases emerged in large language models but disappeared in ChatGPTThilo Hagendorff, Sarah Fabi, Michal Kosinski
Pageof 5