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Trustworthy Method Comparison with AI Judges: Estimation and Design under Order, Batch, and Aggregation Effects

Large language models (LLMs) are increasingly used as judges for automated AI evaluation. A common practice is to randomize prompt sequences and average the resulting scores, but its statistical validity remains unclear.

By Tianxi Li, Jie DingarXiv - stat.ML

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Originally published by arXiv - stat.ML on Oct 7, 2026.

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