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The widespread adoption of AI chatbots in education will drastically change learning, making responsible deployment a critical concern. While large language models (LLMs) might have access to sources discussing insights from educational…

Artificial Intelligence · Computer Science 2026-05-29 Julius Gabelmann , Felix Jahn , Kevin Baum , Sophie van Rossum , Emely Wuenscher , Timo P. Gros , Verena Wolf

Recent progress on large language models (LLMs) has enabled dialogue agents to generate highly naturalistic and plausible text. However, current LLM language generation focuses on responding accurately to questions and requests with a…

Machine Learning · Computer Science 2024-11-11 Joey Hong , Jessica Lin , Anca Dragan , Sergey Levine

The landscape of education is changing rapidly, shaped by emerging pedagogical approaches, technological innovations such as artificial intelligence (AI), and evolving societal expectations, all of which demand thorough evaluation of new…

Computers and Society · Computer Science 2026-03-19 Fiammetta Caccavale , Carina L. Gargalo , Julian Kager , Magdalena Skowyra , Steen Larsen , Krist V. Gernaey , Ulrich Krühne

Automated dialogue systems are important applications of artificial intelligence, and traditional systems struggle to understand user emotions and provide empathetic feedback. This study integrates emotional intelligence technology into…

Artificial Intelligence · Computer Science 2024-04-30 Jin Wang , JinFei Wang , Shuying Dai , Jiqiang Yu , Keqin Li

Large Language Models (LLMs) have become a popular interface for human-AI interaction, supporting information seeking and task assistance through natural, multi-turn dialogue. To respond to users within multi-turn dialogues, the…

Computation and Language · Computer Science 2026-04-16 Fengran Mo , Yifan Gao , Sha Li , Hansi Zeng , Xin Liu , Zhaoxuan Tan , Xian Li , Jianshu Chen , Dakuo Wang , Meng Jiang

Large Language Models (LLMs) have revolutionized Natural Language Processing but exhibit limitations, particularly in autonomously addressing novel challenges such as reasoning and problem-solving. Traditional techniques like…

Multiagent Systems · Computer Science 2024-01-03 Sumedh Rasal

Proactive dialogue systems, related to a wide range of real-world conversational applications, equip the conversational agent with the capability of leading the conversation direction towards achieving pre-defined targets or fulfilling…

Computation and Language · Computer Science 2023-05-10 Yang Deng , Wenqiang Lei , Wai Lam , Tat-Seng Chua

Large Language Models (LLMs) have increasingly demonstrated the ability to facilitate the development of multi-agent systems that allow the interpretation of thoughts and actions generated by each individual. Promising advancements have…

Multiagent Systems · Computer Science 2024-09-24 Asher Sprigler , Alexander Drobek , Keagan Weinstock , Wendpanga Tapsoba , Gavin Childress , Andy Dao , Lucas Gral

Optimization is as much about modeling the right problem as solving it. Identifying the right objectives, constraints, and trade-offs demands extensive interaction between researchers and stakeholders. Large language models can empower…

Artificial Intelligence · Computer Science 2026-04-06 Joshua Drossman , Alexandre Jacquillat , Sébastien Martin

Dialogue Systems are tools designed for various practical purposes concerning human-machine interaction. These systems should be built on ethical foundations because their behavior may heavily influence a user (think especially about…

Artificial Intelligence · Computer Science 2021-09-20 Abeer Dyoub , Stefania Costantini , Ivan Letteri , Francesca A. Lisi

This study investigates the efficacy of Large Language Models (LLMs) in interactive language therapy for high-functioning autistic adolescents. With the rapid advancement of artificial intelligence, particularly in natural language…

Human-Computer Interaction · Computer Science 2023-11-17 Yujin Cho , Mingeon Kim , Seojin Kim , Oyun Kwon , Ryan Donghan Kwon , Yoonha Lee , Dohyun Lim

In this paper, we present a novel framework for enhancing the capabilities of large language models (LLMs) by leveraging the power of multi-agent systems. Our framework introduces a collaborative environment where multiple intelligent agent…

Artificial Intelligence · Computer Science 2023-06-07 Yashar Talebirad , Amirhossein Nadiri

With the increasing integration of large lauguage models (LLMs) in education, there is growing interest in using AI agents to support student learning in creative tasks. This study presents an interactive Mentor Agent system named Mentigo,…

Human-Computer Interaction · Computer Science 2024-09-24 Siyu Zha , Yujia Liu , Chengbo Zheng , Jiaqi XU , Fuze Yu , Jiangtao Gong , Yingqing XU

AI alignment is about ensuring AI systems only pursue goals and activities that are beneficial to humans. Most of the current approach to AI alignment is to learn what humans value from their behavioural data. This paper proposes a…

Artificial Intelligence · Computer Science 2023-10-06 Pei-Yu Chen , Myrthe L. Tielman , Dirk K. J. Heylen , Catholijn M. Jonker , M. Birna van Riemsdijk

This scoping review examines the emerging field of Large Language Model (LLM)-based pedagogical agents in educational settings. While traditional pedagogical agents have been extensively studied, the integration of LLMs represents a…

Artificial Intelligence · Computer Science 2026-05-19 Shan Li , Juan Zheng

Professional development (PD) serves as the cornerstone for teacher tutors to grasp content knowledge. However, providing equitable and timely PD opportunities for teachers poses significant challenges. To address this issue, we introduce…

Computers and Society · Computer Science 2025-07-09 Kaiqi Yang , Hang Li , Yucheng Chu , Ahreum Han , Yasemin Copur-Gencturk , Jiliang Tang , Hui Liu

We describe a class of tasks called decision-oriented dialogues, in which AI assistants such as large language models (LMs) must collaborate with one or more humans via natural language to help them make complex decisions. We formalize…

Computation and Language · Computer Science 2024-05-07 Jessy Lin , Nicholas Tomlin , Jacob Andreas , Jason Eisner

Intelligent agents stand out as a potential path toward artificial general intelligence (AGI). Thus, researchers have dedicated significant effort to diverse implementations for them. Benefiting from recent progress in large language models…

Artificial Intelligence · Computer Science 2024-01-09 Yuheng Cheng , Ceyao Zhang , Zhengwen Zhang , Xiangrui Meng , Sirui Hong , Wenhao Li , Zihao Wang , Zekai Wang , Feng Yin , Junhua Zhao , Xiuqiang He

Negotiation is a crucial ability in human communication. Recently, there has been a resurgent research interest in negotiation dialogue systems, whose goal is to create intelligent agents that can assist people in resolving conflicts or…

Computation and Language · Computer Science 2024-02-05 Haolan Zhan , Yufei Wang , Tao Feng , Yuncheng Hua , Suraj Sharma , Zhuang Li , Lizhen Qu , Zhaleh Semnani Azad , Ingrid Zukerman , Gholamreza Haffari

Large language models (LLMs) have advanced virtual educators and learners, bridging NLP with AI4Education. Existing work often lacks scalability and fails to leverage diverse, large-scale course content, with limited frameworks for…

Artificial Intelligence · Computer Science 2025-09-08 Jiahuan Pei , Fanghua Ye , Xin Sun , Wentao Deng , Koen Hindriks , Junxiao Wang