Horae: A Domain-Agnostic Language for Automated Service Regulation

Sun, Yutao; Chen, Mingshuai; Zhao, Tiancheng; Zhao, Kangjia; Li, He; Chen, Jintao; Wang, Zhongyi; Lu, Liqiang; Zhao, Xinkui; Deng, Shuiguang; Yin, Jianwei

doi:10.24963/ijcai.2025/1039

Horae: A Domain-Agnostic Language for Automated Service Regulation

Yutao Sun, Mingshuai Chen, Tiancheng Zhao, Kangjia Zhao, He Li, Jintao Chen, Zhongyi Wang, Liqiang Lu, Xinkui Zhao, Shuiguang Deng, Jianwei Yin

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Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence. AI4Tech: AI Enabling Technologies. Pages 9349-9356.

https://doi.org/10.24963/ijcai.2025/1039

Keywords

Domain-specific AI4Tech: AI4Regulation
Advanced AI4Tech: Generative and LLMs-driven AI4Tech

Abstract

Artificial intelligence is rapidly encroaching on the field of service regulation. However, existing AI-based regulation techniques are often tailored to specific application domains and thus are difficult to generalize in an automated manner. This paper presents Horae, a unified specification language for modeling (multimodal) regulation rules across a diverse set of domains. We showcase 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. In particular, we show that our open-sourced, fine-tuned RuleGPT with 7B parameters suffices to outperform GPT-3.5 and perform on par with GPT-4o.

Yutao Sun, Mingshuai Chen, Tiancheng Zhao, Kangjia Zhao, He Li, Jintao Chen, Zhongyi Wang, Liqiang Lu, Xinkui Zhao, Shuiguang Deng, and Jianwei Yin. 2025. Horae: A Domain-Agnostic Language for Automated Service Regulation. In Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25. IJCAI, 9349–9356. https://doi.org/10.24963/ijcai.2025/1039

@inproceedings{ijcai2025p1039,
  title     = {Horae: A Domain-Agnostic Language for Automated Service Regulation},
  author    = {Sun, Yutao and Chen, Mingshuai and Zhao, Tiancheng and Zhao, Kangjia and Li, He and Chen, Jintao and Wang, Zhongyi and Lu, Liqiang and Zhao, Xinkui and Deng, Shuiguang and Yin, Jianwei},
  booktitle = {Proceedings of the Thirty-Fourth International Joint Conference on
               Artificial Intelligence, {IJCAI-25}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {James Kwok},
  pages     = {9349--9356},
  year      = {2025},
  month     = {8},
  note      = {AI4Tech: AI Enabling Technologies},
  doi       = {10.24963/ijcai.2025/1039},
  url       = {https://doi.org/10.24963/ijcai.2025/1039},
}

TY  - CPAPER
TI  - Horae: A Domain-Agnostic Language for Automated Service Regulation
AU  - Sun, Yutao
AU  - Chen, Mingshuai
AU  - Zhao, Tiancheng
AU  - Zhao, Kangjia
AU  - Li, He
AU  - Chen, Jintao
AU  - Wang, Zhongyi
AU  - Lu, Liqiang
AU  - Zhao, Xinkui
AU  - Deng, Shuiguang
AU  - Yin, Jianwei
T2  - Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2025
SP  - 9349
EP  - 9356
DO  - 10.24963/ijcai.2025/1039
UR  - https://doi.org/10.24963/ijcai.2025/1039
ER  -