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Vision impairment and blindness are a major global health challenge where gaps in the ophthalmology workforce limit access to specialist care. We evaluate AMIE, a medically fine-tuned conversational system based on Gemini with integrated…

Large language models (LLMs), due to their advanced natural language capabilities, have seen significant success in applications where the user interface is usually a conversational artificial intelligence (AI) agent and engages the user…

计算与语言 · 计算机科学 2025-03-10 Fei Wei , Yaliang Li , Bolin Ding

This paper introduces DeepPsy-Agent, an innovative psychological support system that combines the three-stage helping theory in psychology with deep learning techniques. The system consists of two core components: (1) a multi-stage…

人工智能 · 计算机科学 2025-03-21 Kai Chen , Zebing Sun

This article presents the Cogni-CISMeF project, which aims at improving medical information search in the CISMeF system (Catalog and Index of French-language health resources) by including a conversational agent to interact with the user in…

Large language models (LLMs) offer significant promise as a knowledge source for task learning. Prompt engineering has been shown to be effective for eliciting knowledge from an LLM, but alone it is insufficient for acquiring relevant,…

人工智能 · 计算机科学 2024-02-21 James R. Kirk , Robert E. Wray , Peter Lindes , John E. Laird

Large language models show potential for scalable mental-health support by simulating Cognitive Behavioral Therapy (CBT) counselors. However, existing methods often rely on static cognitive profiles and omniscient single-agent simulation,…

计算与语言 · 计算机科学 2026-04-09 Chang Liu , Changsheng Ma , Yongfeng Tao , Bin Hu , Minqiang Yang

Addressing the critical shortage of mental health resources for effective screening, diagnosis, and treatment remains a significant challenge. This scarcity underscores the need for innovative solutions, particularly in enhancing the…

计算与语言 · 计算机科学 2024-02-15 Maneesh Bilalpur , Mert Inan , Dorsa Zeinali , Jeffrey F. Cohn , Malihe Alikhani

We define Agency as the emergent capacity of AI systems to function as autonomous agents actively discovering problems, formulating hypotheses, and executing solutions through self-directed engagement with environments and tools. This…

Mental health assessment is crucial for early intervention and effective treatment, yet traditional clinician-based approaches are limited by the shortage of qualified professionals. Recent advances in artificial intelligence have sparked…

计算与语言 · 计算机科学 2025-08-18 Jinpeng Hu , Ao Wang , Qianqian Xie , Hui Ma , Zhuo Li , Dan Guo

Recent developments in large language models (LLMs) have unlocked new opportunities for healthcare, from information synthesis to clinical decision support. These new LLMs are not just capable of modeling language, but can also act as…

Recent advances in foundation models have enabled conversational agents that aim for sustained companionship rather than mere task completion. Yet most still remain unable to support natural, long-term companion-like interactions, resulting…

人机交互 · 计算机科学 2026-05-18 Feier Qin , Xiao Li , Yi Zheng , Haibin Huang , Hanyao Wang , Xiaoyu Wang , Yan Lu , Yuan Zhang

Large Language Model (LLM)-Powered Conversational Agents have the potential to provide users with scaled behavioral healthcare support, and potentially even deliver full-scale "AI therapy'" in the future. While such agents can already…

计算与语言 · 计算机科学 2024-12-23 Robert Wasenmüller , Kevin Hilbert , Christoph Benzmüller

Inspired by the dual-process theory of human cognition, we introduce DUMA, a novel conversational agent framework that embodies a dual-mind mechanism through the utilization of two generative Large Language Models (LLMs) dedicated to fast…

计算与语言 · 计算机科学 2023-11-27 Xiaoyu Tian , Liangyu Chen , Na Liu , Yaxuan Liu , Wei Zou , Kaijiang Chen , Ming Cui

Multi-agent debate often wastes compute by using a fixed adversarial stance, aggregating without deliberation, or stopping on heuristics. We introduce MACI, an active controller with two independent dials that decouple information from…

人工智能 · 计算机科学 2025-10-07 Edward Y. Chang , Ethan Y. Chang

There is a growing need for pluralistic alignment methods that can steer language models towards individual attributes and preferences. One such method, Self-Supervised Alignment with Mutual Information (SAMI), uses conditional mutual…

计算与语言 · 计算机科学 2025-06-06 Soham V. Govande

Psychological counseling faces huge challenges due to the growing demand for mental health services and the shortage of trained professionals. Large language models (LLMs) have shown potential to assist psychological counseling, especially…

人工智能 · 计算机科学 2025-07-28 Yigui Feng , Qinglin Wang , Ke Liu , Xinhai Chen , Bo Yang , Jie Liu

Recent advancements in Large Language Models (LLMs) and related technologies such as Retrieval-Augmented Generation (RAG) and Diagram of Thought (DoT) have enabled the creation of autonomous intelligent systems capable of performing cluster…

人工智能 · 计算机科学 2024-11-11 Honghao Shi , Longkai Cheng , Wenli Wu , Yuhang Wang , Xuan Liu , Shaokai Nie , Weixv Wang , Xuebin Min , Chunlei Men , Yonghua Lin

The demand for psychological counselling has grown significantly in recent years, particularly with the global outbreak of COVID-19, which has heightened the need for timely and professional mental health support. Online psychological…

计算与语言 · 计算机科学 2023-09-04 Tin Lai , Yukun Shi , Zicong Du , Jiajie Wu , Ken Fu , Yichao Dou , Ziqi Wang

Large language models (LLMs) enable conversational agents (CAs) to express distinctive personalities, raising new questions about how such designs shape user perceptions. This study investigates how personality expression levels and…

人机交互 · 计算机科学 2026-04-30 Hasibur Rahman , Smit Desai

To build a conversational agent that interacts fluently with humans, previous studies blend knowledge or personal profile into the pre-trained language model. However, the model that considers knowledge and persona at the same time is still…