Scorio.jl: A Julia package for ranking stochastic responses
Mathematical Software
2026-03-17 v1 Statistics Theory
Machine Learning
Statistics Theory
Abstract
Scorio.jl is a Julia package for evaluating and ranking systems from repeated responses to shared tasks. It provides a common tensor-based interface for direct score-based, pairwise, psychometric, voting, graph, and listwise methods, so the same benchmark can be analyzed under multiple ranking assumptions. We describe the package design, position it relative to existing Julia tools, and report pilot experiments on synthetic rank recovery, stability under limited trials, and runtime scaling.
Cite
@article{arxiv.2603.14103,
title = {Scorio.jl: A Julia package for ranking stochastic responses},
author = {Mohsen Hariri and Michael Hinczewski and Vipin Chaudhary},
journal= {arXiv preprint arXiv:2603.14103},
year = {2026}
}