Author

Shivam Aarya

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#artificial intelligence Preprint Sep 2026

CAPEX: Efficiently Distilling Foundation Model Behavior into Deployable Robot Policies through Experience-Adaptive Reasoning

CAPEX, an experience-conditioned demonstration collection framework that uses execution experience from previous attempts to adapt how frequently the foundation model must observe, reason, and replan, is introduced and suggests that foundation models can serve as scalable sources of reusable robot experience.

Shivam Aarya, Xi-Jia Zhang, Cheng-Yue Huang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

CogGym: Towards Large-Scale Comparative Evaluation of Human and Machine Cognition

Understanding and modeling human intelligence are parallel goals shared by artificial intelligence (AI) and cognitive science. As AI systems grow increasingly capable, in what ways do model responses resemble human responses, and where do they systematically diverge? The sheer breadth and diversity of the tasks humans...

Lance Ying, Jinzhou Wu, Y. Wang et al. · 0 citations