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        <title>Combining Information State Update, Harel Statecharts and LLMs for controllable and flexible Conversational AI</title>
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        <namePart type="given">Vladislav</namePart>
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    <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.</abstract>
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%0 Conference Proceedings
%T Combining Information State Update, Harel Statecharts and LLMs for controllable and flexible Conversational AI
%A Maraev, Vladislav
%A Berman, Alexander
%A Larsson, Staffan
%Y Ilinykh, Nikolai
%Y Appelgren, Mattias
%Y Lagerstedt, Erik
%S Proceedings of the 2025 CLASP Conference on Language models And RePresentations (LARP)
%D 2025
%8 September
%I Association for Computational Linguistics
%C Gothenburg, Sweden
%@ 979-8-89176-249-7
%F maraev-etal-2025-combining
%X 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.
%U https://aclanthology.org/2025.clasp-main.3/
%P 28-37

Markdown (Informal)

[Combining Information State Update, Harel Statecharts and LLMs for controllable and flexible Conversational AI](https://aclanthology.org/2025.clasp-main.3/) (Maraev et al., CLASP 2025)

• Combining Information State Update, Harel Statecharts and LLMs for controllable and flexible Conversational AI (Maraev et al., CLASP 2025)

ACL

• Vladislav Maraev, Alexander Berman, and Staffan Larsson. 2025. Combining Information State Update, Harel Statecharts and LLMs for controllable and flexible Conversational AI. In Proceedings of the 2025 CLASP Conference on Language models And RePresentations (LARP), pages 28–37, Gothenburg, Sweden. Association for Computational Linguistics.