@inproceedings{maraev-etal-2025-combining,
    title = "Combining Information State Update, Harel Statecharts and {LLM}s for controllable and flexible Conversational {AI}",
    author = "Maraev, Vladislav  and
      Berman, Alexander  and
      Larsson, Staffan",
    editor = "Ilinykh, Nikolai  and
      Appelgren, Mattias  and
      Lagerstedt, Erik",
    booktitle = "Proceedings of the 2025 CLASP Conference on Language models And RePresentations (LARP)",
    month = sep,
    year = "2025",
    address = "Gothenburg, Sweden",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/tal-24-ingestion/2025.clasp-main.3/",
    pages = "28--37",
    ISBN = "979-8-89176-249-7",
    abstract = "The rise of LLM-based approaches to dialogue systems has created an increased need for controllable dialogue. This paper addresses this need by presenting an implementation of a dialogue system based on information state update approach according to Larsson (2002). This enables the integration of rule-based handling of dialogue, expressed by Harel{'}s statecharts (1987), and Larsson{'}s theoretical account grounded in theories of dialogue, expressed by information state update rules. We demonstrate how our approach applies to dialogue domains involving form-filling. We also propose how LLMs can be employed to inject domain knowledge and be used in various components of a hybrid dialogue system, while maintaining control over the overall dialogue logic."
}