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Large Language Models (LLMs) have become extremely potent instruments with exceptional capacities for comprehending and producing human-like text in a wide range of applications. However, the increasing size and complexity of LLMs present…

机器学习 · 计算机科学 2024-06-18 Yingbing Huang , Lily Jiaxin Wan , Hanchen Ye , Manvi Jha , Jinghua Wang , Yuhong Li , Xiaofan Zhang , Deming Chen

This study presents the development of the PsyCogMetrics AI Lab (psycogmetrics.ai), an integrated, cloud-based platform that operationalizes psychometric and cognitive-science methodologies for Large Language Model (LLM) evaluation. Framed…

神经元与认知 · 定量生物学 2026-03-16 Zhiye Jin , Yibai Li , K. D. Joshi , Xuefei , Deng , Xiaobing , Li

The emergence of large language models (LLMs), and their increased use in user-facing systems, has led to substantial privacy concerns. To date, research on these privacy concerns has been model-centered: exploring how LLMs lead to privacy…

人机交互 · 计算机科学 2024-02-06 Tianshi Li , Sauvik Das , Hao-Ping Lee , Dakuo Wang , Bingsheng Yao , Zhiping Zhang

Large Language Models (LLMs) have emerged as powerful tools in various research domains. This article examines their potential through a literature review and firsthand experimentation. While LLMs offer benefits like cost-effectiveness and…

人机交互 · 计算机科学 2024-04-10 M. Namvarpour , A. Razi

This empirical study serves as a primer for interested service providers to determine if and how Large Language Models (LLMs) technology will be integrated for their practitioners and the broader community. We investigate the mutual…

人机交互 · 计算机科学 2023-12-01 Qingxiao Zheng , Zhongwei Xu , Abhinav Choudhry , Yuting Chen , Yongming Li , Yun Huang

Large language models (LLMs) are emerging as promising tools for mental health care, offering scalable support through their ability to generate human-like responses. However, the effectiveness of these models in clinical settings remains…

人工智能 · 计算机科学 2024-08-22 Yining Hua , Hongbin Na , Zehan Li , Fenglin Liu , Xiao Fang , David Clifton , John Torous

With the recent development of natural language generation models - termed as large language models (LLMs) - a potential use case has opened up to improve the way that humans interact with robot assistants. These LLMs should be able to…

多智能体系统 · 计算机科学 2024-11-27 Mitchell Rosser , Marc. G Carmichael

This paper comprehensively explores the ethical challenges arising from security threats to Large Language Models (LLMs). These intricate digital repositories are increasingly integrated into our daily lives, making them prime targets for…

密码学与安全 · 计算机科学 2024-07-11 Ashutosh Kumar , Shiv Vignesh Murthy , Sagarika Singh , Swathy Ragupathy

Large Language Models (LLMs) represent a leap in artificial intelligence, excelling in tasks using human language(s). Although the main focus of general-purpose LLMs is not code generation, they have shown promising results in the domain.…

软件工程 · 计算机科学 2024-01-30 Sanka Rasnayaka , Guanlin Wang , Ridwan Shariffdeen , Ganesh Neelakanta Iyer

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

Accurate and verifiable large language model (LLM) simulations of human research subjects promise an accessible data source for understanding human behavior and training new AI systems. However, results to date have been limited, and few…

Large Language Models (LLMs) are increasingly used in educational settings as interactive tools for collaboration. However, their tendency toward sycophancy, aligning with user beliefs even when incorrect, raises concerns for learning and…

人机交互 · 计算机科学 2026-05-22 Cansu Koyuturk , Sabrina Guidotti , Dimitri Ognibene

Recently, the field of Multi-Agent Systems (MAS) has gained popularity as researchers are trying to develop artificial intelligence capable of efficient collective reasoning. Agents based on Large Language Models (LLMs) perform well in…

多智能体系统 · 计算机科学 2025-07-30 Adam Kostka , Jarosław A. Chudziak

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…

人机交互 · 计算机科学 2023-11-17 Yujin Cho , Mingeon Kim , Seojin Kim , Oyun Kwon , Ryan Donghan Kwon , Yoonha Lee , Dohyun Lim

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…

多智能体系统 · 计算机科学 2024-09-24 Asher Sprigler , Alexander Drobek , Keagan Weinstock , Wendpanga Tapsoba , Gavin Childress , Andy Dao , Lucas Gral

The global mental health crisis is looming with a rapid increase in mental disorders, limited resources, and the social stigma of seeking treatment. As the field of artificial intelligence (AI) has witnessed significant advancements in…

计算与语言 · 计算机科学 2023-11-27 Neo Christopher Chung , George Dyer , Lennart Brocki

Recent advancements in large language models (LLMs) revolutionize the field of intelligent agents, enabling collaborative multi-agent systems capable of tackling complex problems across various domains. However, the potential of conformity…

计算与语言 · 计算机科学 2025-02-12 Zhiyuan Weng , Guikun Chen , Wenguan Wang

Large Language Model (LLMs) such as ChatGPT that exhibit generative AI capabilities are facing accelerated adoption and innovation. The increased presence of Generative AI (GAI) inevitably raises concerns about the risks and safety…

计算机与社会 · 计算机科学 2024-07-29 Jaymari Chua , Yun Li , Shiyi Yang , Chen Wang , Lina Yao

The rapid advancement of Large Language Models (LLMs) and their potential integration into autonomous driving systems necessitates understanding their moral decision-making capabilities. While our previous study examined four prominent LLMs…

计算机与社会 · 计算机科学 2025-05-23 Muhammad Shahrul Zaim bin Ahmad , Kazuhiro Takemoto

Recent large language models (LLMs) show promise in design tasks, yet a fundamental misalignment persists: design thinking requires iterative intent formulation, while LLMs treat inputs as complete specifications. This challenges design…

人机交互 · 计算机科学 2026-01-27 Anqi Wang , Zhengyi Li , Xin Tong , Pan Hui
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