Author

Harry Chen

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#artificial intelligence Preprint Sep 2026

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

CogGym is introduced, a scalable, unified framework grounded in cognitive science for systematically comparing model and human behavior on matched experimental trials, and intends for CogGym to provide a living evaluation framework that continually incorporates new cognitive science experiments to characterize where mo...

Lance Ying, Jin-Zhou Wu, Y. Wang et al. · 0 citations

#machine learning Nov 2025

The Double-Edged Nature of the Rashomon Set for Trustworthy Machine Learning

This work shows that the multiplicity within a large Rashomon set enables reactive robustness and increases information leakage, and highlights the dual role of Rashomon sets as both a resource and a risk for trustworthy ML.

Ethan Hsu, Harry Chen, Chudi Zhong et al. · arXiv.org · 1 citation