Author

Benjamin W. Domingue

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Preprint Oct 2026

Mastering Model Fit: Applications of the InterModel Vigorish for Interpretable Machine Learning

Accuracy alone gives little information about which features or model components improve probabilistic fit, which outcomes benefit, or how fit changes during training. We introduce the InterModel Vigorish (IMV) into the Machine Intelligence space in order to express differences in fit as an expected betting advantage o...

Jia-Ni Yan, Peng-Yu Wang, Klint Kanopka et al. · 0 citations

#natural language process... Preprint Sep 2026

A Dataset for Modeling Iterative Problem-Solving

It is found that the model's coding proficiency is inversely related to predictive performance in this setting, with the LLM better understood as a generative solver conditioned on context rather than a faithful predictor of solver behavior.

Fagun Patel, Sang T. Truong, Duc Q. Nguyen et al. · 0 citations