<ul><li>Machine learning practitioners face challenges in integrating prior knowledge into predictive models.</li><li>The goal is to build a regression model that can make probabilistic predictions guided by natural language text.</li><li>Large Language Models (LLMs) provide an interface to incorporate expert insights in natural language.</li><li>LLM Processes explore strategies for eliciting coherent numerical predictive distributions from LLMs.</li></ul>

LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language

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