OpenEstimate: Evaluating LLMs on Reasoning Under Uncertainty with Real-World Data
arXiv:2510.15096v2 Announce Type: replace
Abstract: Real-world settings where language models (LMs) are deployed — in domains spanning healthcare, finance, and other forms of knowledge work — require models to grapple with incomplete information and…