UChicago paper: LLMs can't anticipate their own cruxes — sampling many rollouts is unavoidable

rohanpaul_ai · x · 2026-10-24

A University of Chicago paper (arXiv 2610.21006) shows an LLM's a priori account of its decision cruxes barely matches what actually drives disagreement across its answers. In March Madness and Metaculus forecasting tests, predicted cruxes shared only 13.4% of clusters with real ones (below the 39.2% random baseline); a single rollout covered just 28.6%. Using a cheap reranker to compare many rollouts cuts compute 86x versus an LLM judge. Takeaway: for high-stakes decisions, sample many answers and inspect where they disagree.

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