Alquist 5.0: Dialogue Trees Meet Generative Models. A Novel Approach for Enhancing SocialBot Conversations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00372543" target="_blank" >RIV/68407700:21230/23:00372543 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/23:00372543
Result on the web
<a href="https://www.amazon.science/alexa-prize/proceedings/alquist-5-0-dialogue-trees-meet-generative-models-a-novel-approach-for-enhancing-socialbot-conversations" target="_blank" >https://www.amazon.science/alexa-prize/proceedings/alquist-5-0-dialogue-trees-meet-generative-models-a-novel-approach-for-enhancing-socialbot-conversations</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Alquist 5.0: Dialogue Trees Meet Generative Models. A Novel Approach for Enhancing SocialBot Conversations
Original language description
We present our SocialBot -- Alquist~5.0 -- developed for the Alexa Prize SocialBot Grand Challenge~5. Building upon previous versions of our system, we introduce the NRG Barista and outline several innovative approaches for integrating Barista into our SocialBot, improving the overall conversational experience. Additionally, we extend our SocialBot to support multimodal devices. This paper offers insights into the development of Alquist~5.0, which meets evolving user expectations while maintaining empathetic and knowledgeable conversational abilities across diverse topics.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
5th Proceedings of Alexa Prize (Alexa Prize 2022)
ISBN
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ISSN
2331-8422
e-ISSN
2331-8422
Number of pages
24
Pages from-to
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Publisher name
Amazon
Place of publication
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Event location
Boston
Event date
Sep 6, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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