9 papers
Alignment of visual brain encoding models with individual perceptual similarity judgments
Daniel Chong, Haomiao Chen, Keith W Jamison +4
Encoding models that predict brain activation responses to images have traditionally been trained to maximize accuracy when predicting observed brain data. However, their internal…
Sparks of In Silico Cognitive Science: Theories from Simulated Data Can Generalize to Humans
Akshay K. Jagadish, Younes Strittmatter, Nori Jacoby +4
Behavioral foundation models have been proposed as stand-ins for human participants across settings, but it is unclear whether theories discovered on them generalize to humans or m…
Closing the Loop to Discover Psychological Theories with an Automated Cognitive Scientist
Akshay K. Jagadish, Younes Strittmatter, Nori Jacoby +5
Across the sciences, autonomous systems are increasingly being used in closed-loop discovery, proposing new theories and designing and running experiments to test them. This approa…
An Experimental Method to Study Opinion Diffusion in Human-AI Hybrid Societies
Léna Gaubert, Rémi Devaux, Elif Çelen +4
As artificial intelligence increasingly mediates public discourse, it becomes important to understand how human-AI collectives shape opinion formation, deliberation, and democratic…
DUET: Optimize Token-Budget Allocation for Reinforcement Learning with Verifiable Rewards
Haoyu Hu, Xuandong Zhao, Xuhai "Orson'' Xu +1
Reinforcement learning with verifiable rewards (RLVR) generates hundreds of thousands of tokens per training step, with rollout generation dominating the computational cost. The ov…
Why Human Guidance Matters in Collaborative Vibe Coding
Haoyu Hu, Raja Marjieh, Katherine M Collins +4
Writing code has been one of the most transformative ways for human societies to translate abstract ideas into tangible technologies. Modern AI is changing this process by enabling…
Human-AI Synergy Supports Collective Creative Search
Chenyi Li, Raja Marjieh, Haoyu Hu +4
Generative AI is increasingly transforming creativity into a hybrid human-artificial process, but its impact on the quality and diversity of creative output remains unclear. We stu…
Popularity Feedback Constrains Innovation in Cultural Markets
Lucas Gautheron, Raja Marjieh, Dalton C. Conley +5
Real-world creative processes ranging from art to science rely on social feedback-loops between selection and creation. Yet, the effects of popularity feedback on collective creati…
Using LLMs to Advance the Cognitive Science of Collectives
Ilia Sucholutsky, Katherine M. Collins, Nori Jacoby +2
LLMs are already transforming the study of individual cognition, but their application to studying collective cognition has been underexplored. We lay out how LLMs may be able to a…