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Learning to be Homo Economicus: Can an LLM Learn Preferences from Choice
This paper explores the use of Large Language Models (LLMs) as decision aids, with a focus on their ability to learn preferences and provide personalized recommendations.
Rate-splitting Multiple Access for Hierarchical HAP-LAP Networks under Limited Fronthaul
In this correspondence, we propose hierarchical high-altitude platform (HAP)-low-altitude platform (LAP) networks with the aim of maximizing the sum-rate of ground user equipments (UEs).
Cache-assisted Mobile Edge Computing over Space-Air-Ground Integrated Networks for Extended Reality Applications
Extended reality-enabled Internet of Things (XRI) provides the new user experience and the sense of immersion by adding virtual elements to the real world through Internet of Things (IoT) devices and emerging 6G technologies.
Random Utility and Limited Consideration
In contrast, we cannot reject the hypothesis that decision makers behave according to the logit attention model (Brade and Rehbeck, 2016).
