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In human society, trust is an essential component of social attitude that helps build and maintain long-term, healthy relationships which creates a strong foundation for cooperation, enabling individuals to work together effectively and…

人机交互 · 计算机科学 2025-07-30 Anushka Debnath , Stephen Cranefield , Emiliano Lorini , Bastin Tony Roy Savarimuthu

In this paper, we propose MPC (Modular Prompted Chatbot), a new approach for creating high-quality conversational agents without the need for fine-tuning. Our method utilizes pre-trained large language models (LLMs) as individual modules…

计算与语言 · 计算机科学 2023-08-17 Gibbeum Lee , Volker Hartmann , Jongho Park , Dimitris Papailiopoulos , Kangwook Lee

Large language models LLMs like ChatGPT have reached the 100 Mio user barrier in record time and might increasingly enter all areas of our life leading to a diverse set of interactions between those Artificial Intelligence models and…

计算与语言 · 计算机科学 2024-11-25 Johannes Schneider , Steffi Haag , Leona Chandra Kruse

In this paper, we outline the vision of chatbots that facilitate the interaction between citizens and policy-makers at the city scale. We report the results of a co-design session attended by more than 60 participants. We give an outlook of…

社会与信息网络 · 计算机科学 2017-08-10 Pavel Kucherbaev , Achilleas Psyllidis , Alessandro Bozzon

Conversational AI interfaces powered by large language models (LLMs) are increasingly used as coding assistants. However, questions remain about how programmers interact with LLM-based conversational agents, the challenges they encounter,…

人机交互 · 计算机科学 2025-03-24 Mehmet Akhoroz , Caglar Yildirim

Low technology and eHealth literacy among older adults in retirement communities hinder engagement with digital tools. To address this, we designed an LLM-powered chatbot prototype using a human-centered approach for a local retirement…

人机交互 · 计算机科学 2025-04-29 Luna Xingyu Li , Ray-yuan Chung , Feng Chen , Wenyu Zeng , Yein Jeon , Oleg Zaslavsky

While automatic response generation for building chatbot systems has drawn a lot of attention recently, there is limited understanding on when we need to consider the linguistic context of an input text in the generation process. The task…

计算与语言 · 计算机科学 2016-11-04 Chaozhuo Li , Yu Wu , Wei Wu , Chen Xing , Zhoujun Li , Ming Zhou

In recent years, the rapid advancement and impressive capabilities of Large Language Models (LLMs) have been evident across various domains. This paper explores the application, implications, and potential of LLMs in building energy…

系统与控制 · 电气工程与系统科学 2023-12-20 Liang Zhang , Zhelun Chen

The profound impact of food on health necessitates advanced nutrition-oriented food recommendation services. Conventional methods often lack the crucial elements of personalization, explainability, and interactivity. While Large Language…

信息检索 · 计算机科学 2024-09-26 Zhongqi Yang , Elahe Khatibi , Nitish Nagesh , Mahyar Abbasian , Iman Azimi , Ramesh Jain , Amir M. Rahmani

Large Language Models (LLMs) such as ChatGPT demonstrated the potential to replicate human language abilities through technology, ranging from text generation to engaging in conversations. However, it remains controversial to what extent…

计算与语言 · 计算机科学 2025-07-09 Martin Schuele

Healthcare systems around the world are grappling with issues like inefficient diagnostics, rising costs, and limited access to specialists. These problems often lead to delays in treatment and poor health outcomes. Most current AI and deep…

人工智能 · 计算机科学 2025-12-22 Maliha Tabassum , M Shamim Kaiser

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

Empathy is essential for fostering natural interactions in spoken dialogue systems, as it enables machines to recognize the emotional tone of human speech and deliver empathetic responses. Recent research has made significant progress in…

计算与语言 · 计算机科学 2026-04-21 Yun Hong , Yan Zhou , Yang Feng

The conversational capabilities of Large Language Models (LLMs) suggest that they may be able to perform as automated talk therapists. It is crucial to know if these systems would be effective and adhere to known standards. We present a…

We introduce a dynamic benchmarking system for conversational agents that evaluates their performance through a single, simulated, and lengthy user$\leftrightarrow$agent interaction. The interaction is a conversation between the user and…

计算与语言 · 计算机科学 2024-10-14 David Castillo-Bolado , Joseph Davidson , Finlay Gray , Marek Rosa

Bicycle safety is important for bikeability and transportation efficiency. However, conventional surveys often fall short in capturing how people actually perceive cycling environments because they rely heavily on respondents' recall rather…

计算机与社会 · 计算机科学 2026-04-10 Feiyang Ren , Zhaoxi Zhang , Tamir Mendel , Takahiro Yabe

Large Language Models (LLMs) have demonstrated remarkable performance across various information-seeking and reasoning tasks. These computational systems drive state-of-the-art dialogue systems, such as ChatGPT and Bard. They also carry…

计算与语言 · 计算机科学 2023-10-13 Siyuan Brandon Loh , Aravind Sesagiri Raamkumar

Large language models (LLMs) have recently become a popular topic in the field of Artificial Intelligence (AI) research, with companies such as Google, Amazon, Facebook, Amazon, Tesla, and Apple (GAFA) investing heavily in their…

We propose a simple way to use large language models (LLMs) in education. Specifically, our method aims to improve individual comprehension by adding a novel feature to online videos. We combine the low threshold for interactivity in…

人机交互 · 计算机科学 2025-02-04 Boris Ruf , Marcin Detyniecki

Large Language Models (LLMs) such as ChatGPT and Llama have become prevalent in real-world applications, exhibiting impressive text generation performance. LLMs are fundamentally developed from a scenario where the input data remains static…

人工智能 · 计算机科学 2024-09-09 Cheng'an Wei , Yue Zhao , Yujia Gong , Kai Chen , Lu Xiang , Shenchen Zhu
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