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Conversational agents powered by Large Language Models (LLMs) are increasingly utilized in educational settings, in particular in individual closed digital environments, yet their potential adoption in the physical learning environments…

人机交互 · 计算机科学 2025-09-03 Filip J. Kucia , Bartosz Grabek , Szymon D. Trochimiak , Anna Wróblewska

This study investigates the design, development, and evaluation of a Large Language Model (LLM)-based chatbot for teaching English conversations in an English as a Foreign Language (EFL) context. Employing the Design and Development…

Large language models (LLMs) provide a new way to build chatbots by accepting natural language prompts. Yet, it is unclear how to design prompts to power chatbots to carry on naturalistic conversations while pursuing a given goal, such as…

人机交互 · 计算机科学 2024-05-08 Jing Wei , Sungdong Kim , Hyunhoon Jung , Young-Ho Kim

In recent years, large language models (LLMs) have rapidly proliferated and have been utilized in various tasks, including research in dialogue systems. We aimed to construct a system that not only leverages the flexible conversational…

计算与语言 · 计算机科学 2023-12-25 Katsumasa Yoshikawa , Takato Yamazaki , Masaya Ohagi , Tomoya Mizumoto , Keiya Sato

The recent advancements in Large Language Models (LLMs), particularly conversational LLMs like ChatGPT, have prompted changes in a range of fields, including design. This study aims to examine the capabilities of ChatGPT in a human-centered…

人机交互 · 计算机科学 2023-02-16 A. Baki Kocaballi

Large language model (LLM) powered chatbots are primarily text-based today, and impose a large interactional cognitive load, especially for exploratory or sensemaking tasks such as planning a trip or learning about a new city. Because the…

人机交互 · 计算机科学 2023-12-04 Xiao Ma , Swaroop Mishra , Ariel Liu , Sophie Su , Jilin Chen , Chinmay Kulkarni , Heng-Tze Cheng , Quoc Le , Ed Chi

Large language models (LLMs) have taken the scientific world by storm, changing the landscape of natural language processing and human-computer interaction. These powerful tools can answer complex questions and, surprisingly, perform…

人工智能 · 计算机科学 2023-11-14 Pier Luca Lanzi , Daniele Loiacono

Conversational agents show the promise to allow users to interact with mobile devices using language. However, to perform diverse UI tasks with natural language, developers typically need to create separate datasets and models for each…

人机交互 · 计算机科学 2023-02-21 Bryan Wang , Gang Li , Yang Li

Therapeutic art activities, such as expressive drawing and painting, require the synergy between creative visual production and interactive dialogue. Recent advancements in Multimodal Large Language Models (MLLMs) have expanded the capacity…

人机交互 · 计算机科学 2026-05-12 Le Lin , Zihao Zhu , Rainbow Tin Hung Ho , Jing Liao , Yuhan Luo

Traditional end-of-quarter surveys often fail to provide instructors with timely, detailed, and actionable feedback about their teaching. In this paper, we explore how Large Language Model (LLM)-powered chatbots can reimagine the classroom…

计算机与社会 · 计算机科学 2025-08-19 Sai Siddartha Maram , Ulia Zaman , Magy Seif El-Nasr

Designing robotic agents to perform open vocabulary tasks has been the long-standing goal in robotics and AI. Recently, Large Language Models (LLMs) have achieved impressive results in creating robotic agents for performing open vocabulary…

Large Language Models (LLMs) have created opportunities for designing chatbots that can support complex question-answering (QA) scenarios and improve news audience engagement. However, we still lack an understanding of what roles…

人机交互 · 计算机科学 2024-03-26 Md Naimul Hoque , Ayman Mahfuz , Mayukha Kindi , Naeemul Hassan

The development of chatbots requires collecting a large number of human-chatbot dialogues to reflect the breadth of users' sociodemographic backgrounds and conversational goals. However, the resource requirements to conduct the respective…

计算与语言 · 计算机科学 2024-10-15 Hovhannes Tamoyan , Hendrik Schuff , Iryna Gurevych

We investigate the use of Large Language Models (LLMs) to equip neural robotic agents with human-like social and cognitive competencies, for the purpose of open-ended human-robot conversation and collaboration. We introduce a modular and…

机器人学 · 计算机科学 2024-09-30 Philipp Allgeuer , Hassan Ali , Stefan Wermter

Empathetic dialogue is an indispensable part of building harmonious social relationships and contributes to the development of a helpful AI. Previous approaches are mainly based on fine small-scale language models. With the advent of…

计算与语言 · 计算机科学 2024-07-29 Yushan Qian , Wei-Nan Zhang , Ting Liu

With the advancement of large language models (LLMs), the focus in Conversational AI has shifted from merely generating coherent and relevant responses to tackling more complex challenges, such as personalizing dialogue systems. In an…

计算与语言 · 计算机科学 2025-02-13 Maria Molchanova , Anna Mikhailova , Anna Korzanova , Lidiia Ostyakova , Alexandra Dolidze

Large-language models (LLMs) hold significant promise in improving human-robot interaction, offering advanced conversational skills and versatility in managing diverse, open-ended user requests in various tasks and domains. Despite the…

机器人学 · 计算机科学 2024-01-09 Callie Y. Kim , Christine P. Lee , Bilge Mutlu

The rise of Large Language Models (LLMs) has enabled a new paradigm for bridging authorial intent and player agency in interactive narrative. We consider this paradigm through the example of Dramamancer, a system that uses an LLM to…

人机交互 · 计算机科学 2026-01-27 Tiffany Wang , Yuqian Sun , Yi Wang , Melissa Roemmele , John Joon Young Chung , Max Kreminski

This research investigates the application of Large Language Models (LLMs) to augment conversational agents in process mining, aiming to tackle its inherent complexity and diverse skill requirements. While LLM advancements present novel…

人工智能 · 计算机科学 2023-07-20 Urszula Jessen , Michal Sroka , Dirk Fahland

The following contribution introduces a concept that employs Large Language Models (LLMs) and a chatbot interface to enhance SPARQL query generation for ontologies, thereby facilitating intuitive access to formalized knowledge. Utilizing…

信息检索 · 计算机科学 2024-10-18 Jonathan Reif , Tom Jeleniewski , Milapji Singh Gill , Felix Gehlhoff , Alexander Fay
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