Large Language Models as Discounted Bayesian Filters

This article likely explores the application of Large Language Models (LLMs) within the framework of Bayesian filtering, potentially focusing on how LLMs can be used to model uncertainty and make predictions. The term "discounted" suggests a modification to standard Bayesian filtering, perhaps to account for the specific characteristics of LLMs or to improve performance. The source being ArXiv indicates this is a research paper, likely presenting novel findings and analysis.