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Andrea Gregor de Varda

Showing results (1-10 of 13) with videos related to

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Cognitive Science|September 12, 2022
Corrigendum 'A Cross-modal and Cross-lingual Study of Iconicity in Language: Insights from Deep Learning'Andrea Gregor de Varda, Carlo Strapparava
Cognitive Science|June 6, 2022
A Cross-Modal and Cross-lingual Study of Iconicity in Language: Insights From Deep LearningAndrea Gregor de Varda, Carlo Strapparava
Psychonomic Bulletin & Review|January 8, 2025
Cracking arbitrariness: A data-driven study of auditory iconicity in spoken EnglishAndrea Gregor de Varda, Marco Marelli
Behavior Research Methods|October 25, 2023
Cloze probability, predictability ratings, and computational estimates for 205 English sentences, aligned with existing EEG and reading time dataAndrea Gregor de Varda, Marco Marelli, Simona Amenta
Nature Human Behaviour|June 4, 2025
High variability in LLMs' analogical reasoningAndrea Gregor de Varda, Chiara Saponaro, Marco Marelli
Biorxiv : the Preprint Server for Biology|December 3, 2025
Multilingual Computational Models Capture a Shared Meaning Component in Brain Responses across 21 LanguagesAndrea Gregor de Varda, Saima Malik-Moraleda, Greta Tuckute, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 19, 2025
The cost of thinking is similar between large reasoning models and humansAndrea Gregor de Varda, Ferdinando Pio D'Elia, Hope Kean, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 10, 2026
Reply to Hu: Reasoning traces need not be faithful to account for the cost of human thinkingAndrea Gregor de Varda, Ferdinando Pio D'Elia, Hope Kean, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 20, 2026
Reply to Dujmović: The alignment in cost between human and model reasoning is an empirical phenomenon worth explainingAndrea Gregor de Varda, Ferdinando Pio D'Elia, Hope Kean, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 16, 2026
Reply to Vankov et al.: Reasoning traces are linked to accuracy and capture key dimensions of problem complexityAndrea Gregor de Varda, Ferdinando Pio D'Elia, Hope Kean, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Cognitive Science|September 12, 2022
Corrigendum 'A Cross-modal and Cross-lingual Study of Iconicity in Language: Insights from Deep Learning'Andrea Gregor de Varda, Carlo Strapparava
Cognitive Science|June 6, 2022
A Cross-Modal and Cross-lingual Study of Iconicity in Language: Insights From Deep LearningAndrea Gregor de Varda, Carlo Strapparava
Psychonomic Bulletin & Review|January 8, 2025
Cracking arbitrariness: A data-driven study of auditory iconicity in spoken EnglishAndrea Gregor de Varda, Marco Marelli
Behavior Research Methods|October 25, 2023
Cloze probability, predictability ratings, and computational estimates for 205 English sentences, aligned with existing EEG and reading time dataAndrea Gregor de Varda, Marco Marelli, Simona Amenta
Nature Human Behaviour|June 4, 2025
High variability in LLMs' analogical reasoningAndrea Gregor de Varda, Chiara Saponaro, Marco Marelli
Biorxiv : the Preprint Server for Biology|December 3, 2025
Multilingual Computational Models Capture a Shared Meaning Component in Brain Responses across 21 LanguagesAndrea Gregor de Varda, Saima Malik-Moraleda, Greta Tuckute, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 19, 2025
The cost of thinking is similar between large reasoning models and humansAndrea Gregor de Varda, Ferdinando Pio D'Elia, Hope Kean, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 10, 2026
Reply to Hu: Reasoning traces need not be faithful to account for the cost of human thinkingAndrea Gregor de Varda, Ferdinando Pio D'Elia, Hope Kean, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 20, 2026
Reply to Dujmović: The alignment in cost between human and model reasoning is an empirical phenomenon worth explainingAndrea Gregor de Varda, Ferdinando Pio D'Elia, Hope Kean, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 16, 2026
Reply to Vankov et al.: Reasoning traces are linked to accuracy and capture key dimensions of problem complexityAndrea Gregor de Varda, Ferdinando Pio D'Elia, Hope Kean, et al.
Pageof 2