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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

With growing capabilities of large language models (LLMs) comes growing affordances for human-like and context-aware conversational partners. On from this, some recent work has investigated the use of LLMs to simulate multiple…

人机交互 · 计算机科学 2023-12-29 Samuel Rhys Cox

This research addresses the challenges inherent in developing Artificial Intelligence (AI) applications, particularly those leveraging Large Language Models (LLMs). While AI vendors provide Application Programming Interfaces (APIs) and…

人工智能 · 计算机科学 2026-05-20 Chun-Hsiung Tseng , Hao-Chiang Koong Lin , Andrew Chih-Wei Huang , Yung-Hui Chen , Jia-Rou Lin

This paper explores the advancements in making large language models (LLMs) more human-like. We focus on techniques that enhance natural language understanding, conversational coherence, and emotional intelligence in AI systems. The study…

计算与语言 · 计算机科学 2026-02-03 Ethem Yağız Çalık , Talha Rüzgar Akkuş

Large language models (LLMs) can empower teachers to build pedagogical conversational agents (PCAs) customized for their students. As students have different prior knowledge and motivation levels, teachers must review the adaptivity of…

人机交互 · 计算机科学 2025-01-31 Hyoungwook Jin , Minju Yoo , Jeongeon Park , Yokyung Lee , Xu Wang , Juho Kim

Large Language Models (LLMs) are trained and aligned to follow natural language instructions with only a handful of examples, and they are prompted as task-driven autonomous agents to adapt to various sources of execution environments.…

计算与语言 · 计算机科学 2023-10-03 Yang Su

AI-assisted learning has seen a remarkable uptick over the last few years, mainly due to the rise in popularity of Large Language Models (LLMs). Their ability to hold long-form, natural language interactions with users makes them excellent…

Large Language Model (LLM)-enhanced agents become increasingly prevalent in Human-AI communication, offering vast potential from entertainment to professional domains. However, current multi-modal dialogue systems overlook the acoustic…

计算与语言 · 计算机科学 2024-06-19 Haoqiu Yan , Yongxin Zhu , Kai Zheng , Bing Liu , Haoyu Cao , Deqiang Jiang , Linli Xu

Education in the era of generative AI faces a pivotal transformation. As AI systems reshape professional practices-from software development to creative design-educators must reconsider how to prepare students for a future where humans and…

计算机与社会 · 计算机科学 2025-10-22 Xinran Zhu , Liam Magee , Peg Mischler

Large Language Models (LLMs) have become increasingly integral to enhancing developer productivity, particularly in code generation, comprehension, and repair tasks. However, fine-tuning these models with high-quality, real-world data is…

软件工程 · 计算机科学 2024-12-12 Xiaoyun Liang , Jingyi Ren , Jiayi Qi , Chao Peng , Bo Jiang

A major challenge facing the world is the provision of equitable and universal access to quality education. Recent advances in generative AI (gen AI) have created excitement about the potential of new technologies to offer a personal tutor…

In this paper, we propose Tutoring bot, a generative chatbot trained on a large scale of tutor-student conversations for English-language learning. To mimic a human tutor's behavior in language education, the tutor bot leverages diverse…

人工智能 · 计算机科学 2023-02-27 Hyungjoo Chae , Minjin Kim , Chaehyeong Kim , Wonseok Jeong , Hyejoong Kim , Junmyung Lee , Jinyoung Yeo

The topic of Co-creation, i.e., AI agents interacting with humans to generate outputs (e.g., art), has gained significant attention recently. However, most studies focus on adult-human interactions in a digital setting. This paper explores…

人工智能 · 计算机科学 2026-05-29 Arturo Valdivia , Paolo Burelli

With the burgeoning development in the realm of large language models (LLMs), the demand for efficient incremental training tailored to specific industries and domains continues to increase. Currently, the predominantly employed frameworks…

计算与语言 · 计算机科学 2023-08-22 Yixuan Weng , Zhiqi Wang , Huanxuan Liao , Shizhu He , Shengping Liu , Kang Liu , Jun Zhao

Text animation, a foundational element in video creation, enables efficient and cost-effective communication, thriving in advertisements, journalism, and social media. However, traditional animation workflows present significant usability…

人机交互 · 计算机科学 2025-06-13 Bao Zhang , Zihan Li , Zhenglei Liu , Huanchen Wang , Yuxin Ma

Large language models (LLMs) have achieved remarkable results across diverse downstream tasks, but their monolithic nature restricts scalability and efficiency in complex problem-solving. While recent research explores multi-agent…

Recent Multimodal Large Language Models (MLLMs) have typically focused on integrating visual and textual modalities, with less emphasis placed on the role of speech in enhancing interaction. However, speech plays a crucial role in…

计算机视觉与模式识别 · 计算机科学 2025-10-27 Chaoyou Fu , Haojia Lin , Xiong Wang , Yi-Fan Zhang , Yunhang Shen , Xiaoyu Liu , Haoyu Cao , Zuwei Long , Heting Gao , Ke Li , Long Ma , Xiawu Zheng , Rongrong Ji , Xing Sun , Caifeng Shan , Ran He

Artificial Intelligence (AI) approaches have been incorporated into modern learning environments and software engineering (SE) courses and curricula for several years. However, with the significant rise in popularity of large language…

软件工程 · 计算机科学 2025-01-30 Michael Vierhauser , Iris Groher , Tobias Antensteiner , Clemens Sauerwein

The emergence of generative AI, particularly large language models (LLMs), has opened the door for student-centered and active learning methods like project-based learning (PBL). However, PBL poses practical implementation challenges for…

Large language model (LLM) agents have demonstrated impressive capabilities in utilizing external tools and knowledge to boost accuracy and reduce hallucinations. However, developing prompting techniques that enable LLM agents to…