A hierarchical framework generates statistically valid task-level rank confidence intervals via pairwise comparisons and leaderboard-level rank prediction intervals via conformal prediction.
Lmems for post-hoc analysis of hpo benchmarking.arXiv preprint arXiv:2408.02533, 2024
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Rank Intervals for Leaderboards: A Hierarchical Framework for Model Evaluation
A hierarchical framework generates statistically valid task-level rank confidence intervals via pairwise comparisons and leaderboard-level rank prediction intervals via conformal prediction.