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LLMs are popular among clinicians for decision-support because of simple text-based interaction. However, their impact on clinicians' performance is ambiguous. Not knowing how clinicians use this new technology and how they compare it to…

人机交互 · 计算机科学 2026-02-02 Behnam Rahdari , Sameer Shaikh , Jonathan H Chen , Tobias Gerstenberg , Shriti Raj

The emergence of Large Language Model (LLM) agents enables us to build agent-based intelligent systems that move beyond the role of a "tool" to become genuine collaborators with humans, thereby realizing a novel human-agent collaboration…

人机交互 · 计算机科学 2026-02-06 Bingsheng Yao , Chaoran Chen , April Yi Wang , Sherry Tongshuang Wu , Toby Jia-jun Li , Dakuo Wang

Large language models (LLMs) can generate fluent dialogue, but prior works lack situational grounding, dynamic strategy control, and evaluation aligned with clinical standards in motivational interviewing (MI). We introduce StoryMI, a…

计算与语言 · 计算机科学 2026-05-28 Qingyu Meng , Min Chen , Dingming Liu , Yifan Mo , Yue Su , Xin Sun , Koen Hindriks , Jiahuan Pei

In transportation system demand modeling and simulation, agent-based models and microsimulations are current state-of-the-art approaches. However, existing agent-based models still have some limitations on behavioral realism and resource…

人工智能 · 计算机科学 2025-04-08 Tianming Liu , Jirong Yang , Yafeng Yin

Adherence to healthy diets reduces chronic illness risk, yet rates remain low. Large Language Models (LLMs) are increasingly used for health communication but often struggle to engage individuals with ambivalent intentions at a pivotal…

人机交互 · 计算机科学 2025-11-05 Michelle Bak , Kexin Quan , Tre Tomaszewski , Jessie Chin

Large Language Model (LLM) agents are transforming education by automating complex pedagogical tasks and enhancing both teaching and learning processes. In this survey, we present a systematic review of recent advances in applying LLM…

计算机与社会 · 计算机科学 2026-02-05 Zhendong Chu , Shen Wang , Jian Xie , Tinghui Zhu , Yibo Yan , Jinheng Ye , Aoxiao Zhong , Xuming Hu , Jing Liang , Philip S. Yu , Qingsong Wen

Large Language Models (LLMs) are transforming artificial intelligence, enabling autonomous agents to perform diverse tasks across various domains. These agents, proficient in human-like text comprehension and generation, have the potential…

人工智能 · 计算机科学 2024-04-10 Saikat Barua

The rapid rise of Large Language Models (LLMs) has created new disruptive possibilities for persuasive communication, enabling fully-automated, personalized, and interactive content generation at an unprecedented scale. In this paper, we…

计算与语言 · 计算机科学 2026-04-22 Sander Noels , Alexander Rogiers , Maarten Buyl , Tijl De Bie

Task-oriented conversational systems are essential for efficiently addressing diverse user needs, yet their development requires substantial amounts of high-quality conversational data that is challenging and costly to obtain. While large…

信息检索 · 计算机科学 2025-11-06 Zhefan Wang , Ning Geng , Zhiqiang Guo , Weizhi Ma , Min Zhang

Large Language Models (LLMs) are becoming ubiquitous to create intelligent virtual assistants that assist users in interacting with a system, as exemplified in marketing. Although LLMs have been discussed in Modeling & Simulation (M&S), the…

人机交互 · 计算机科学 2024-09-25 Philippe J. Giabbanelli , Jose J. Padilla , Ameeta Agrawal

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) have become valuable assets in mental health, showing promise in both classification tasks and counseling applications. This paper offers a perspective on using LLMs in mental health applications. It discusses…

计算与语言 · 计算机科学 2023-12-19 Shaoxiong Ji , Tianlin Zhang , Kailai Yang , Sophia Ananiadou , Erik Cambria

The emergence of Large Language Models (LLMs) has reshaped agent systems. Unlike traditional rule-based agents with limited task scope, LLM-powered agents offer greater flexibility, cross-domain reasoning, and natural language interaction.…

人工智能 · 计算机科学 2026-05-05 Guannan Liang , Qianqian Tong

The emergence of large language models (LLMs) like ChatGPT has increased interest in their use as therapists to address mental health challenges and the widespread lack of access to care. However, experts have emphasized the critical need…

计算与语言 · 计算机科学 2024-12-02 Yu Ying Chiu , Ashish Sharma , Inna Wanyin Lin , Tim Althoff

The emergence of Large Language Models (LLMs), has opened exciting possibilities for constructing computational simulations designed to replicate human behavior accurately. Current research suggests that LLM-based agents become increasingly…

计算与语言 · 计算机科学 2024-12-18 Amir Taubenfeld , Yaniv Dover , Roi Reichart , Ariel Goldstein

The impressive capabilities of Large Language Models (LLMs) raise the possibility that synthetic agents can serve as substitutes for real participants in human-subject research. To evaluate this claim, prior research has largely focused on…

Family caregivers often face substantial mental health challenges due to their multifaceted roles and limited resources. This study explored the potential of a large language model (LLM)-powered conversational agent to deliver…

The long-standing vision of intelligent cities is to create efficient, livable, and sustainable urban environments using big data and artificial intelligence technologies. Recently, the advent of Large Language Models (LLMs) has opened new…

多智能体系统 · 计算机科学 2025-07-02 Jindong Han , Yansong Ning , Zirui Yuan , Hang Ni , Fan Liu , Tengfei Lyu , Hao Liu

We introduce a pipeline that leverages Large Language Models (LLMs) to transform single-turn psychotherapy counseling sessions into multi-turn interactions. While AI-supported online counseling services for individuals with mental disorders…

计算与语言 · 计算机科学 2024-06-14 Jun-Woo Kim , Ji-Eun Han , Jun-Seok Koh , Hyeon-Tae Seo , Du-Seong Chang

Large Language Models (LLMs) are transforming healthcare through the development of LLM-based agents that can understand, reason about, and assist with medical tasks. This survey provides a comprehensive review of LLM-based agents in…

计算与语言 · 计算机科学 2025-05-27 Wenxuan Wang , Zizhan Ma , Zheng Wang , Chenghan Wu , Jiaming Ji , Wenting Chen , Xiang Li , Yixuan Yuan