Eyon Jang

Same Facts, Different Updates: Inference Setup Shapes LLM Behavior in Medical Allocation

This work studies a medical example in which a model is asked to assign resource-allocation probabilities to two people given brief clinical context, and then sees the same scenario with a single extra sentence containing contrasting patient information, showing the context-dependent effect of patient information in a sensitive medical use case.