Publication
Title
HyLECA : a framework for developing hybrid long-term engaging controlled conversational agents
Author
Abstract
We present HyLECA, an open-source framework designed for the development of long-term engaging controlled conversational agents. HyLECA’s dialogue manager employs a hybrid architecture, combining rule-based methods for controlled dialogue flows with retrieval-based and generation-based approaches to enhance the utterance variability and flexibility. The motivation behind HyLECA lies in enhancing user engagement and enjoyment in task-oriented chatbots by leveraging the natural language generation capabilities of open-domain large language models within the confines of predetermined dialogue flows. Moreover, we discuss the technical capabilities, potential applications, relevance, and adaptability of the system. Lastly, we report preliminary findings from integrating state-of-the-art large language models in simulating a conversation centred on smoking cessation.
Language
English
Source (book)
Proceedings of the 5th International Conference on Conversational User Interfaces, Eindhoven, Netherlands, July 19-21, 2023
Publication
New York, N.Y. : Association for Computing Machinery , 2023
ISBN
979-84-00-70014-9
DOI
10.1145/3571884.3604404
Volume/pages
p. 1-5
Article Reference
56
ISI
001122710800056
Medium
E-only publicatie
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 26.09.2023
Last edited 25.04.2024
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