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.

该研究论文介绍了我们的 SocialBot -- Alquist~5.0，该系统通过引入 NRG Barista 和多模态设备，改进了对话体验，以满足用户的需求并保持善解人意和知识丰富的对话能力。

Alquist 5.0：对话树与生成模型的结合 —— 提升 SocialBot 对话的新方法

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

This paper reports on progress towards building an online language learning
tool to provide learners with conversational experience by using dialog systems
as conversation practice partners. Our system can adapt to users' language
proficiency on the fly. We also provide automatic grammar error feedback to
help users learn from their mistakes. According to our first adopters, our
system is entertaining and useful. Furthermore, we will provide the learning
technology community a large-scale conversation dataset on language learning
and grammar correction. Our next step is to make our system more adaptive to
user profile information by using reinforcement learning algorithms.

本研究旨在构建一种在线语言学习工具，通过使用对话系统作为实践对话伙伴，为学习者提供对话体验。我们的系统可以根据用户的语言熟练程度进行自适应，并且提供自动语法错误反馈来帮助用户从他们的错误中学习。根据我们的初步用户反馈，我们的系统既实用又有趣。此外，我们还将为学习技术社区提供一个大规模的关于语言学习和语法更正的对话数据集。下一步，我们将使用强化学习算法来使我们的系统更加适应用户个人信息。