LLM Generated Distribution-Based Prediction of US Electoral Results, Part I

Caleb Bradshaw, Caelen Miller, Sean Warnick

This paper introduces distribution-based prediction, a novel approach to using Large Language Models (LLMs) as predictive tools by interpreting output token probabilities as distri…