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LLM Evaluation as Tensor Completion: Low Rank Structure and Semiparametric Efficiency

A score-whitening method that equalizes local Fisher information and restores stable inference at the optimal sample-complexity scale is introduced that provides a principled framework for uncertainty quantification in LLM evaluation and more broadly for inference on low-rank structures from pairwise data.

Jiachun Li, David Simchi-Levi, W. Sun · 2 citations

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