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As large language models (LLMs) become more common in educational tools and programming environments, questions arise about how these systems should interact with users. This study investigates how different interaction styles with…

人机交互 · 计算机科学 2025-07-08 Kai Deng

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

Large language model (LLM) applications, such as ChatGPT, are a powerful tool for online information-seeking (IS) and problem-solving tasks. However, users still face challenges initializing and refining prompts, and their cognitive…

人机交互 · 计算机科学 2024-02-12 Ben Wang , Jiqun Liu , Jamshed Karimnazarov , Nicolas Thompson

Scientific workflow systems are increasingly popular for expressing and executing complex data analysis pipelines over large datasets, as they offer reproducibility, dependability, and scalability of analyses by automatic parallelization on…

分布式、并行与集群计算 · 计算机科学 2024-07-09 Mario Sänger , Ninon De Mecquenem , Katarzyna Ewa Lewińska , Vasilis Bountris , Fabian Lehmann , Ulf Leser , Thomas Kosch

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

Large Language Models (LLMs), such as ChatGPT, exhibit advanced capabilities in generating text, images, and videos. However, their effective use remains constrained by challenges in prompt formulation, personalization, and opaque…

人机交互 · 计算机科学 2025-03-04 Si Thu , A. Baki Kocaballi

Large Language Models (LLMs) have been widely utilized to perform complex robotic tasks. However, handling external disturbances during tasks is still an open challenge. This paper proposes a novel method to achieve robotic adaptive tasks…

机器人学 · 计算机科学 2024-08-20 Haotian Zhou , Yunhan Lin , Longwu Yan , Jihong Zhu , Huasong Min

Large Language Models (LLMs) have revo lutionized natural language processing Natural Language Processing (NLP), with Chat Generative Pre-trained Transformer (ChatGPT) standing out as a notable exampledue to its advanced capabilities and…

计算与语言 · 计算机科学 2025-03-25 Azim Akhtarshenas , Afshin Dini , Navid Ayoobi

The integration of Large Language Models (LLMs), such as GPT, in industrial robotics enhances operational efficiency and human-robot collaboration. However, the computational complexity and size of these models often provide latency…

机器人学 · 计算机科学 2025-06-03 Diego Pollini , Bruna V. Guterres , Rodrigo S. Guerra , Ricardo B. Grando

With the advent of large language models (LLMs), in both the open source and proprietary domains, attention is turning to how to exploit such artificial intelligence (AI) systems in assisting complex scientific tasks, such as material…

人机交互 · 计算机科学 2024-01-26 Yongtao Liu , Marti Checa , Rama K. Vasudevan

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

The recent success of large language models (LLMs) has shown great potential to develop more powerful conversational recommender systems (CRSs), which rely on natural language conversations to satisfy user needs. In this paper, we embark on…

计算与语言 · 计算机科学 2024-06-21 Xiaolei Wang , Xinyu Tang , Wayne Xin Zhao , Jingyuan Wang , Ji-Rong Wen

Achieving consensus in group decision-making often involves overcoming significant challenges, particularly in reconciling diverse perspectives and mitigating biases that hinder agreement. Traditional methods relying on human facilitators…

人机交互 · 计算机科学 2025-03-21 Loukas Triantafyllopoulos , Dimitris Kalles

This work presents a novel architecture for context-aware interactions within smart environments, leveraging Large Language Models (LLMs) to enhance user experiences. Our system integrates user location data obtained through UWB tags and…

计算与语言 · 计算机科学 2025-02-21 Aurora Polo-Rodríguez , Laura Fiorini , Erika Rovini , Filippo Cavallo , Javier Medina-Quero

To combat climate change, individuals are encouraged to adopt sustainable habits, in particular, with their household, optimizing their electrical consumption. Conversational agents, such as Smart Home Assistants, hold promise as effective…

人机交互 · 计算机科学 2025-05-06 Mathyas Giudici , Alessandro Sironi , Ismaele Villa , Samuele Scherini , Franca Garzotto

The rise of big data has amplified the need for efficient, user-friendly automated machine learning (AutoML) tools. However, the intricacy of understanding domain-specific data and defining prediction tasks necessitates human intervention…

计算与语言 · 计算机科学 2023-05-24 Md Mahadi Hassan , Alex Knipper , Shubhra Kanti Karmaker Santu

In this paper, we investigate the use of large language models (LLMs) like ChatGPT for document-grounded response generation in the context of information-seeking dialogues. For evaluation, we use the MultiDoc2Dial corpus of task-oriented…

计算与语言 · 计算机科学 2023-09-22 Norbert Braunschweiler , Rama Doddipatla , Simon Keizer , Svetlana Stoyanchev

In recent years, generative AI has undergone major advancements, demonstrating significant promise in augmenting human productivity. Notably, large language models (LLM), with ChatGPT-4 as an example, have drawn considerable attention.…

人机交互 · 计算机科学 2024-01-23 Sida Peng , Wojciech Swiatek , Allen Gao , Paul Cullivan , Haoge Chang

Recently, large language models (LLMs), such as GPT-4, stand out remarkable conversational abilities, enabling them to engage in dynamic and contextually relevant dialogues across a wide range of topics. However, given a long conversation,…

计算与语言 · 计算机科学 2025-08-26 Qingyue Wang , Yanhe Fu , Yanan Cao , Shuai Wang , Zhiliang Tian , Liang Ding

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
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