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Ian Arawjo

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#artificial intelligence Preprint Sep 2026

How to Run Statistics over LLM Judges and Trust the Results: Calibrated Inference for Small-Sample AI Evaluation with evalstats

To help researchers understand how to run statistics over LLM judges responsibly, guidance and tooling for the statistical analysis of mixed human-AI judge designs are presented, and recommendations for what CI, p-value, and FWER correction methods to use for small-sample AI evaluations are derived, and researchers are...

Ian Arawjo · 0 citations
#software testing Review Aug 2026

"A Second Set of Eyes": The Process and Challenges of Software Documentation Review

The work identifies five distinct stages of the documentation review process: self review, technical review, editorial review, play testing, and post-publication feedback, and draws on practitioners with distinct expertise to address quality across content, presentation, and user experience.

Avinash Bhat, Ian Arawjo, Disha Shrivastava et al. · 1 citation · ⚡1

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