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alex-berman committed Jan 16, 2025
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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 [cite/t:@larsson_issue-based_2002]. This enables the integration of rule-based handling of dialogue, expressed by Harel's statecharts, 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 hybrid dialogues systems, while maintaining control over the overall dialogue logic.
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 [cite/t:@larsson_issue-based_2002]. This enables the integration of rule-based handling of dialogue, expressed by Harel's statecharts, 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 hybrid dialogues systems, while maintaining control over the overall dialogue logic.
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 [cite/t:@larsson_issue-based_2002]. This enables the integration of rule-based handling of dialogue, expressed by Harel's statecharts, 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.
#+end_abstract
* Introduction

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