Author

K. Yamin

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Preprint Aug 2026

High-Stakes Decisions with Language Models: Insights from Emergency Triage

High-stakes decisions under uncertainty, such as medical emergency triage, require more than accurate predictions. They depend on estimating the likelihood of alternative outcomes while explicitly weighing the consequences of different actions, principles that have long formed the foundation of medical diagnosis and de...

K. Yamin, Christopher Kelly, Bryan Wilder et al. · 1 citation

#machine learning May 2026

Can Revealed Preferences Clarify LLM Alignment and Steering?

An empirical pipeline is presented for estimating the implied preferences that an LLM's observed choices optimize: the model's probability distribution over unknowns is elicited along with the choice it would make for the decision task and a discrete choice model is fit to recover the cost function that best rationaliz...

K. Yamin, Jingjing Tang, Eric Horvitz et al. · arXiv.org · 4 citations