2026
Reading Between the Tokens: Improving Preference Predictions through Mechanistic Forecasting
ICML 2026poster
Large language models are increasingly used to predict human preferences in both scientific and business endeavors, yet current approaches rely exclusively on analyzing model outputs without considering the underlying mechanisms. Using election forecasting as a test case, we introduce *mechanistic f…