Alquist 5.0: Dialogue Trees Meet Generative Models. A Novel Approach for Enhancing SocialBot Conversations

Ondřej Kobza; Jan Čuhel; Tommaso Gargiani; David Herel; Petr Marek

Alquist 5.0: Dialogue Trees Meet Generative Models. A Novel Approach for Enhancing SocialBot Conversations

Machine Learning 2024-02-26 v2 Artificial Intelligence

Authors: Ondřej Kobza , Jan Čuhel , Tommaso Gargiani , David Herel , Petr Marek

Abstract

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.

Keywords

socialbot dialogue system generative model dialogue trees multimodal alexa prize conversational agent

Cite

@article{arxiv.2310.16119,
  title  = {Alquist 5.0: Dialogue Trees Meet Generative Models. A Novel Approach for Enhancing SocialBot Conversations},
  author = {Ondřej Kobza and Jan Čuhel and Tommaso Gargiani and David Herel and Petr Marek},
  journal= {arXiv preprint arXiv:2310.16119},
  year   = {2024}
}

Alquist 5.0: Dialogue Trees Meet Generative Models. A Novel Approach for Enhancing SocialBot Conversations

Abstract

Keywords

Cite

Related papers