6 papers
Post-training makes large language models less human-like
Marcel Binz, Elif Akata, Abdullah Almaatouq +76
Large language models (LLMs) are increasingly used as surrogates for human participants, but it remains unclear which models best capture human behavior and why. To address this, w…
Designing Rewards for Rewarding Designs: Demonstrating the Impact of Rewards on the Creative Design Process
Surabhi S Nath, Vindula Jayawardana, Monica Van +2
The creative design process involves transforming abstract goals into concrete outcomes through a series of decisions made under constraints. While such processes are commonly shap…
Solving Spatial Supersensing Without Spatial Supersensing
Vishaal Udandarao, Shyamgopal Karthik, Surabhi S. Nath +3
Cambrian-S aims to take the first steps towards improving video world models with spatial supersensing by introducing (i) two benchmarks, VSI-Super-Recall (VSR) and VSI-Super-Count…
Centaur: a foundation model of human cognition
Marcel Binz, Elif Akata, Matthias Bethge +37
Establishing a unified theory of cognition has been a major goal of psychology. While there have been previous attempts to instantiate such theories by building computational model…
Complexity in Complexity: Understanding Visual Complexity Through Structure, Color, and Surprise
Karahan SarıtaÅ, Peter Dayan, Tingke Shen +1
Understanding how humans perceive visual complexity is a key area of study in visual cognition. Previous approaches to modeling visual complexity assessments have often resulted in…
Pencils to Pixels: A Systematic Study of Creative Drawings across Children, Adults and AI
Surabhi S Nath, Guiomar del Cuvillo y Schröder, Claire E. Stevenson
Can we derive computational metrics to quantify visual creativity in drawings across intelligent agents, while accounting for inherent differences in technical skill and style? To…