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Juan Diego Rodriguez

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Preprint Jul 2026

Improving LLMs via Validator-to-Generator Alignment

This work introduces a new formulation of G-V consistency that involves a principled correction for utterance frequency, and shows that under a natural model of rational agents answering questions with multiple answers, consistency of the validator with a frequency-corrected generator score emerges naturally.

Juan Diego Rodriguez, Jocelyn Zhang, Katrin Erk et al. · 0 citations