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The past few decades have witnessed an upsurge in data, forming the foundation for data-hungry, learning-based AI technology. Conversational agents, often referred to as AI chatbots, rely heavily on such data to train large language models…

计算与语言 · 计算机科学 2024-11-19 Sumit Kumar Dam , Choong Seon Hong , Yu Qiao , Chaoning Zhang

Creating and deploying customized applications is crucial for operational success and enriching user experiences in the rapidly evolving modern business world. A prominent facet of modern user experiences is the integration of chatbots or…

Community health workers (CHWs) provide last-mile healthcare services but face challenges due to limited medical knowledge and training. This paper describes the design, deployment, and evaluation of ASHABot, an LLM-powered,…

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

In the era of digital transformation, customer service is of paramount importance to the success of organizations, and to meet the growing demand for immediate responses and personalized assistance 24 hours a day, chatbots have become a…

计算与语言 · 计算机科学 2023-10-18 Valderrama Jonatan , Aguilar-Alonso Igor

Alignment research on large language models (LLMs) increasingly depends on understanding how these systems are used in everyday contexts. Yet naturalistic interaction data is difficult to access due to privacy constraints and platform…

The application of AI-powered tools has piqued the interest of many fields, particularly in the academic community. This study uses ChatGPT, currently the most powerful and popular AI tool, as a representative example to analyze how the…

计算机与社会 · 计算机科学 2024-08-13 Yao Tian , Chengwei Tong , Lik-Hang Lee , Reza Hadi Mogavi , Yong Liao , Pengyuan Zhou

AI in education is commonly delivered through web-based systems such as online forms and institutional platforms. However, these approaches can exclude teachers in low-resource contexts, where everyday mobile platforms like WhatsApp serve…

人机交互 · 计算机科学 2026-04-07 Vikram Kamath Cannanure , Bruno Yinkfu , Douglas Bryan , Mati Amin , Ingmar Weber

The increasing trust in large language models (LLMs), especially in the form of chatbots, is often undermined by the lack of their extrinsic evaluation. This holds particularly true in nutrition, where randomised controlled trials (RCTs)…

人机交互 · 计算机科学 2025-11-27 Karen Jia-Hui Li , Simone Balloccu , Ondrej Dusek , Ehud Reiter

In recent times, the grandeur of Large Language Models (LLMs) has not only shone in the realm of natural language processing but has also cast its brilliance across a vast array of applications. This remarkable display of LLM capabilities…

计算与语言 · 计算机科学 2024-03-22 Hanieh Alipour , Nick Pendar , Kohinoor Roy

Providing sufficient support for students requires substantial resources, especially considering the growing enrollment numbers. Students need help in a variety of tasks, ranging from information-seeking to requiring support with course…

计算机与社会 · 计算机科学 2024-10-18 Leonardo Pasquarelli , Charles Koutcheme , Arto Hellas

People are increasingly seeking healthcare information from large language models (LLMs) via interactive chatbots, yet the nature and inherent risks of these conversations remain largely unexplored. In this paper, we filter large-scale…

计算与语言 · 计算机科学 2025-09-23 Akshay Paruchuri , Maryam Aziz , Rohit Vartak , Ayman Ali , Best Uchehara , Xin Liu , Ishan Chatterjee , Monica Agrawal

Dialogue-based language models mark a huge milestone in the field of artificial intelligence, by their impressive ability to interact with users, as well as a series of challenging tasks prompted by customized instructions. However, the…

人工智能 · 计算机科学 2023-04-26 Rui Hao , Linmei Hu , Weijian Qi , Qingliu Wu , Yirui Zhang , Liqiang Nie

The emergence of generative AI chatbots such as ChatGPT has prompted growing public and academic interest in their role as informal mental health support tools. While early rule-based systems have been around for several years, large…

计算与语言 · 计算机科学 2025-04-18 Anna-Carolina Haensch

With the rapid evolution of Natural Language Processing (NLP), Large Language Models (LLMs) like ChatGPT have emerged as powerful tools capable of transforming various sectors. Their vast knowledge base and dynamic interaction capabilities…

计算机与社会 · 计算机科学 2024-01-02 Kevin Wang , Jason Ramos , Ramon Lawrence

LLM-driven chatbots like ChatGPT have created large volumes of conversational data, but little is known about how user privacy expectations are evolving with this technology. We conduct a survey experiment with 300 US ChatGPT users to…

We present PhysioLLM, an interactive system that leverages large language models (LLMs) to provide personalized health understanding and exploration by integrating physiological data from wearables with contextual information. Unlike…

The landscape of software developer learning resources has continuously evolved, with recent trends favoring engaging formats like video tutorials. The emergence of Large Language Models (LLMs) like ChatGPT presents a new learning paradigm.…

软件工程 · 计算机科学 2024-10-14 Ahmad Tayeb , Mohammad D. Alahmadi , Elham Tajik , Sonia Haiduc

The advent of Large Language Models (LLMs) has introduced a new paradigm in Software Engineering (SE), with generative AI tools like ChatGPT gaining widespread adoption among developers. While ChatGPT's potential has been extensively…

软件工程 · 计算机科学 2026-02-19 Ruiyin Li , Peng Liang , Yifei Wang , Yangxiao Cai , Weisong Sun , Zengyang Li

AI tools, particularly large-scale language model (LLM) based applications such as ChatGPT, have the potential to simplify qualitative research. Through semi-structured interviews with seventeen participants, we identified challenges and…

人机交互 · 计算机科学 2025-05-14 He Zhang , Chuhao Wu , Jingyi Xie , Yao Lyu , Jie Cai , John M. Carroll
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