Applying Statistics to LLM Evaluations

Most LLM evaluations are conducted without a deep consideration of statistics.

Applying Statistics to LLM Evaluations An overview of useful statistics for building and interpreting LLM evaluations... Cameron R. Wolfe, Ph.D. Mar 09, 2026 139 9 14 Share (from [1, 2, 3]) Research on large language models (LLMs) is empirically driven. For this reason, model evaluations play a pivotal role in the field’s progress. We improve models by making changes, evaluating them, and iterating. Despite their foundational role, however, evaluations are usually handled in a naive manner. In most cases, we just test a model’s performance over a finite evaluation dataset and directly compare

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