Summary of Horae: a Domain-agnostic Modeling Language For Automating Multimodal Service Regulation, by Yutao Sun et al.
HORAE: A Domain-Agnostic Modeling Language for Automating Multimodal Service Regulation
by Yutao Sun, Mingshuai Chen, Kangjia Zhao, Jintao Chen
First submitted to arxiv on: 6 Jun 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI); Computation and Language (cs.CL)
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Summary difficulty | Written by | Summary |
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High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes HORAE, a unified specification language to model multimodal regulation rules across various domains. The authors present design principles behind HORAE and demonstrate how it facilitates an intelligent service regulation pipeline by leveraging a fine-tuned large language model named HORAE. This end-to-end framework enables fully automated intelligent service regulation. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary HORAE is a new way to write rules for different services. Imagine you’re trying to make sure all the rules are correct and followed across many areas, like healthcare or finance. The authors came up with a special language to help with this task. It’s called HORAE and it can be used to model how different services should work together. This means that machines can automatically make sure the rules are followed without needing human intervention. |
Keywords
» Artificial intelligence » Large language model