Accounting for Bias Enables Sustainable LLM Evaluation
A unified latent variable framework is proposed that jointly models pairwise and ordinal data while explicitly correcting for confounders, recovering reliable rankings from substantially fewer comparisons, and is not only more statistically rigorous but also a more sustainable approach to trustworthy evaluation.
H. Katoch, D. A. Selby, Gerrit Großmann et al.
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