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Large language models (LLMs) have shown promise in providing scalable mental health support, while evaluating their counseling capability remains crucial to ensure both efficacy and safety. Existing evaluations are limited by the static…

Digital health tools have the potential to significantly improve the delivery of healthcare services. However, their adoption remains comparatively limited due, in part, to challenges surrounding usability and trust. Large Language Models…

计算与语言 · 计算机科学 2024-03-01 Fergus Imrie , Paulius Rauba , Mihaela van der Schaar

This study presents a framework for conducting psychological and linguistic research through simulated conversations using large language models (LLMs). The proposed methodology offers significant advantages, particularly for simulating…

计算机与社会 · 计算机科学 2024-03-12 Frank Tian-fang Ye , Xiaozi Gao

Software testing is an important part of the development cycle, yet it requires specialized expertise and substantial developer effort to adequately test software. Recent discoveries of the capabilities of large language models (LLMs)…

软件工程 · 计算机科学 2023-09-06 Robert Feldt , Sungmin Kang , Juyeon Yoon , Shin Yoo

Online health resources and large language models (LLMs) are increasingly used as a first point of contact for medical decision-making, yet their reliability in healthcare remains limited by low accuracy, lack of transparency, and…

The pursuit of human-level artificial intelligence (AI) has significantly advanced the development of autonomous agents and Large Language Models (LLMs). LLMs are now widely utilized as decision-making agents for their ability to interpret…

Traditional in-person psychological counseling remains primarily niche, often chosen by individuals with psychological issues, while online automated counseling offers a potential solution for those hesitant to seek help due to feelings of…

Traditional methods for eliciting people's opinions face a trade-off between depth and scale: structured surveys enable large-scale data collection but limit respondents' ability to voice their opinions in their own words, while…

Simulation powered by Large Language Models (LLMs) has become a promising method for exploring complex human social behaviors. However, the application of LLMs in simulations presents significant challenges, particularly regarding their…

计算机与社会 · 计算机科学 2025-02-26 Qian Wang , Zhenheng Tang , Bingsheng He

As mental health issues continue to rise globally, there is an increasing demand for accessible and scalable therapeutic solutions. Many individuals currently seek support from Large Language Models (LLMs), even though these models have not…

计算与语言 · 计算机科学 2026-03-05 Navdeep Singh Bedi , Ana-Maria Bucur , Noriko Kando , Fabio Crestani

Continuing advances in Large Language Models (LLMs) in artificial intelligence offer important capacities in intuitively accessing and using medical knowledge in many contexts, including education and training as well as assessment and…

计算与语言 · 计算机科学 2024-08-01 Roma Shusterman , Allison C. Waters , Shannon O`Neill , Phan Luu , Don M. Tucker

Child helpline training often relies on human-led roleplay, which is both time- and resource-consuming. To address this, rule-based interactive agent simulations have been proposed to provide a structured training experience for new…

人机交互 · 计算机科学 2025-09-23 Mohammed Al Owayyed , Adarsh Denga , Willem-Paul Brinkman

Mental health is a growing global concern, prompting interest in AI-driven solutions to expand access to psychosocial support. \emph{Peer support}, grounded in lived experience, offers a valuable complement to professional care. However,…

人机交互 · 计算机科学 2026-04-10 Kellie Yu Hui Sim , Roy Ka-Wei Lee , Kenny Tsu Wei Choo

A wide range of real-world applications is characterized by their symbolic nature, necessitating a strong capability for symbolic reasoning. This paper investigates the potential application of Large Language Models (LLMs) as symbolic…

计算与语言 · 计算机科学 2024-01-18 Meng Fang , Shilong Deng , Yudi Zhang , Zijing Shi , Ling Chen , Mykola Pechenizkiy , Jun Wang

Software agents, both human and computational, do not exist in isolation and often need to collaborate or coordinate with others to achieve their goals. In human society, social mechanisms such as norms ensure efficient functioning, and…

人工智能 · 计算机科学 2024-10-15 Bastin Tony Roy Savarimuthu , Surangika Ranathunga , Stephen Cranefield

This research investigates the application of Large Language Models (LLMs) to augment conversational agents in process mining, aiming to tackle its inherent complexity and diverse skill requirements. While LLM advancements present novel…

人工智能 · 计算机科学 2023-07-20 Urszula Jessen , Michal Sroka , Dirk Fahland

Large language models (LLMs) have achieved superior performance in powering text-based AI agents, endowing them with decision-making and reasoning abilities akin to humans. Concurrently, there is an emerging research trend focused on…

计算机视觉与模式识别 · 计算机科学 2024-02-26 Junlin Xie , Zhihong Chen , Ruifei Zhang , Xiang Wan , Guanbin Li

Online social networks offer a valuable lens to analyze both individual and collective phenomena. Researchers often use simulators to explore controlled scenarios, and the integration of Large Language Models (LLMs) makes these simulations…

社会与信息网络 · 计算机科学 2026-04-06 Elisa Composta , Nicolo' Fontana , Francesco Corso , Francesco Pierri

Providing students with flexible and timely academic support is a challenge at most colleges and universities, leaving many students without help outside scheduled hours. Large language models (LLMs) are promising for bridging this gap, but…

计算机与社会 · 计算机科学 2025-09-12 Chang Liu , Loc Hoang , Andrew Stolman , Rene F. Kizilcec , Bo Wu

Recent progress in large language model (LLM) technology has significantly enhanced the interaction experience between humans and voice assistants (VAs). This project aims to explore a user's continuous interaction with LLM-based VA…

人机交互 · 计算机科学 2024-09-04 Szeyi Chan , Shihan Fu , Jiachen Li , Bingsheng Yao , Smit Desai , Mirjana Prpa , Dakuo Wang