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Large language models (LLMs) have demonstrated their significant potential to be applied for addressing various application tasks. However, traditional recommender systems continue to face great challenges such as poor interactivity and…

Information Retrieval · Computer Science 2023-04-05 Yunfan Gao , Tao Sheng , Youlin Xiang , Yun Xiong , Haofen Wang , Jiawei Zhang

Introduction. Advances in large language models (LLMs) offer a chance to act as scientific assistants, helping people grasp complex research areas. This study examines how LLMs evolve in healthcare disparities research, with attention to…

Computers and Society · Computer Science 2025-12-10 David An

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…

Artificial Intelligence · Computer Science 2024-11-11 Honghao Shi , Longkai Cheng , Wenli Wu , Yuhang Wang , Xuan Liu , Shaokai Nie , Weixv Wang , Xuebin Min , Chunlei Men , Yonghua Lin

In 2025, Large Language Model (LLM) services have launched a new feature -- AI video chat -- allowing users to interact with AI agents via real-time video communication (RTC), just like chatting with real people. Despite its significance,…

Networking and Internet Architecture · Computer Science 2025-10-02 Jiayang Xu , Xiangjie Huang , Zijie Li , Zili Meng

Artificial Intelligence (AI) has become essential in modern healthcare, with large language models (LLMs) offering promising advances in clinical decision-making. Traditional model-based approaches, including those leveraging in-context…

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…

Human-Computer Interaction · Computer Science 2023-09-21 Nikita Mehandru , Brenda Y. Miao , Eduardo Rodriguez Almaraz , Madhumita Sushil , Atul J. Butte , Ahmed Alaa

Effective communication about breast and cervical cancers remains a persistent health challenge, with significant gaps in public understanding of cancer prevention, screening, and treatment, potentially leading to delayed diagnoses and…

Computation and Language · Computer Science 2025-05-19 Agnik Saha , Victoria Churchill , Anny D. Rodriguez , Ugur Kursuncu , Muhammed Y. Idris

Quickly resolving issues reported in industrial applications is crucial to minimize economic impact. However, the required data analysis makes diagnosing the underlying root causes a challenging and time-consuming task, even for experts. In…

Computation and Language · Computer Science 2024-10-15 Jordis Emilia Herrmann , Aswath Mandakath Gopinath , Mikael Norrlof , Mark Niklas Müller

AI language technologies (AILTs), increasingly enabled by large language models (LLMs), are becoming embedded in multilingual healthcare workflows for translation, rewriting, documentation, interpreting, and messaging in language-discordant…

Computation and Language · Computer Science 2026-05-05 Vicent Briva-Iglesias

Trustworthy clinical advice is crucial but burdensome when seeking health support from professionals. Inaccessibility and financial burdens present obstacles to obtaining professional clinical advice, even when healthcare is available.…

Human-Computer Interaction · Computer Science 2024-02-14 Delong Du , Richard Paluch , Gunnar Stevens , Claudia Müller

Large Language Models (LLMs) are being increasingly employed in data science for tasks like data preprocessing and analytics. However, data scientists encounter substantial obstacles when conversing with LLM-powered chatbots and acting on…

Human-Computer Interaction · Computer Science 2023-10-26 Bhavya Chopra , Ananya Singha , Anna Fariha , Sumit Gulwani , Chris Parnin , Ashish Tiwari , Austin Z. Henley

Large language models (LLMs) have exhibited remarkable capabilities across a variety of domains and tasks, challenging our understanding of learning and cognition. Despite the recent success, current LLMs are not capable of processing…

Artificial intelligence (AI), machine learning, and deep learning have become transformative forces in big data analytics and management, enabling groundbreaking advancements across diverse industries. This article delves into the…

Mental health challenges pose considerable global burdens on individuals and communities. Recent data indicates that more than 20% of adults may encounter at least one mental disorder in their lifetime. On the one hand, the advancements in…

Computation and Language · Computer Science 2024-02-05 Mihael Arcan , David-Paul Niland , Fionn Delahunty

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…

Computation and Language · Computer Science 2023-05-24 Md Mahadi Hassan , Alex Knipper , Shubhra Kanti Karmaker Santu

Existing depression screening predominantly relies on standardized questionnaires (e.g., PHQ-9, BDI), which suffer from high misdiagnosis rates (18-34% in clinical studies) due to their static, symptom-counting nature and susceptibility to…

Neurons and Cognition · Quantitative Biology 2025-04-24 Zhenguang Zhong , Zhixuan Wang

In the past year, there has been a growing trend in applying Large Language Models (LLMs) to the field of medicine, particularly with the advent of advanced language models such as ChatGPT developed by OpenAI. However, there is limited…

Computation and Language · Computer Science 2024-02-27 Fujian Jia , Xin Liu , Lixi Deng , Jiwen Gu , Chunchao Pu , Tunan Bai , Mengjiang Huang , Yuanzhi Lu , Kang Liu

Patients must possess the knowledge necessary to actively participate in their care. We present NoteAid-Chatbot, a conversational AI that promotes patient understanding via a novel 'learning as conversation' framework, built on a…

Artificial Intelligence · Computer Science 2025-10-28 Won Seok Jang , Hieu Tran , Manav Mistry , SaiKiran Gandluri , Yifan Zhang , Sharmin Sultana , Sunjae Kown , Yuan Zhang , Zonghai Yao , Hong Yu

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…

Human-Computer Interaction · Computer Science 2023-11-17 Yujin Cho , Mingeon Kim , Seojin Kim , Oyun Kwon , Ryan Donghan Kwon , Yoonha Lee , Dohyun Lim

Upon its release in late 2022, ChatGPT has brought a seismic shift in the entire landscape of AI, both in research and commerce. Through instruction-tuning a large language model (LLM) with supervised fine-tuning and reinforcement learning…

Computation and Language · Computer Science 2024-01-17 Hailin Chen , Fangkai Jiao , Xingxuan Li , Chengwei Qin , Mathieu Ravaut , Ruochen Zhao , Caiming Xiong , Shafiq Joty