Horae: A Domain-Agnostic Modeling Language for Automating Multimodal Service Regulation

Abstract

Artificial intelligence is rapidly encroaching on the field of service regulation. This work presents Horae, a unified specification language to model multimodal regulation rules across a diverse set of domains. We show how Horae facilitates an intelligent service regulation pipeline by further exploiting a fine-tuned large language model named RuleGPT that automates the Horae modeling process, thereby yielding an end-to-end framework for fully automated intelligent service regulation. The feasibility and effectiveness of our framework are demonstrated over a benchmark of various real-world regulation domains.