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In the rapidly evolving landscape of large language models (LLMs), most research has primarily viewed them as independent individuals, focusing on assessing their capabilities through standardized benchmarks and enhancing their general…

人机交互 · 计算机科学 2024-01-17 Jiayin Wang , Weizhi Ma , Peijie Sun , Min Zhang , Jian-Yun Nie

Background: Large Language Models (LLMs) are transforming artificial intelligence applications in healthcare due to their ability to understand, generate, and summarize complex medical text. They offer valuable support to clinicians,…

计算与语言 · 计算机科学 2026-04-14 Subin Santhosh , Farwa Abbas , Hussain Ahmad , Claudia Szabo

Recent research has highlighted the potential of large language models (LLMs) to improve their problem-solving capabilities with the aid of suitable external tools. In our work, we further advance this concept by introducing a closed-loop…

机器学习 · 计算机科学 2024-03-12 Tianle Cai , Xuezhi Wang , Tengyu Ma , Xinyun Chen , Denny Zhou

In the rapidly evolving landscape of artificial intelligence (AI), generative large language models (LLMs) stand at the forefront, revolutionizing how we interact with our data. However, the computational intensity and memory consumption of…

机器学习 · 计算机科学 2025-07-24 Xupeng Miao , Gabriele Oliaro , Zhihao Zhang , Xinhao Cheng , Hongyi Jin , Tianqi Chen , Zhihao Jia

The introduction of Large Language Models (LLMs) has significantly transformed Natural Language Processing (NLP) applications by enabling more advanced analysis of customer personas. At Volvo Construction Equipment (VCE), customer personas…

计算与语言 · 计算机科学 2025-05-26 Muhammed Rizwan , Lars Carlsson , Mohammad Loni

Large Language Model (LLM) assistants, such as ChatGPT, have emerged as potential alternatives to search methods for helping users navigate complex, feature-rich software. LLMs use vast training data from domain-specific texts, software…

人机交互 · 计算机科学 2024-02-14 Anjali Khurana , Hari Subramonyam , Parmit K Chilana

Access to consumer grievance redressal in India is often hindered by procedural complexity, legal jargon, and jurisdictional challenges. To address this, we present $\textbf{Grahak-Nyay}$ (Justice-to-Consumers), a chatbot that streamlines…

Providing the best customer experience is one of the primary concerns for the firms that are based online. The advancement of machine learning is revolutionising the company's attitude towards the client through improving the service…

计算与语言 · 计算机科学 2022-07-22 Rejwan Bin Sulaiman

Low technology and eHealth literacy among older adults in retirement communities hinder engagement with digital tools. To address this, we designed an LLM-powered chatbot prototype using a human-centered approach for a local retirement…

人机交互 · 计算机科学 2025-04-29 Luna Xingyu Li , Ray-yuan Chung , Feng Chen , Wenyu Zeng , Yein Jeon , Oleg Zaslavsky

Objective: This study aims to summarize the usage of Large Language Models (LLMs) in the process of creating a scientific review. We look at the range of stages in a review that can be automated and assess the current state-of-the-art…

数字图书馆 · 计算机科学 2025-05-16 Dmitry Scherbakov , Nina Hubig , Vinita Jansari , Alexander Bakumenko , Leslie A. Lenert

The rise of large language models (LLMs) has revolutionized user interactions with knowledge-based systems, enabling chatbots to synthesize vast amounts of information and assist with complex, exploratory tasks. However, LLM-based chatbots…

人机交互 · 计算机科学 2024-11-01 Yingzhe Peng , Xiaoting Qin , Zhiyang Zhang , Jue Zhang , Qingwei Lin , Xu Yang , Dongmei Zhang , Saravan Rajmohan , Qi Zhang

The advent of ChatGPT and GPT-4 has captivated the world with large language models (LLMs), demonstrating exceptional performance in question-answering, summarization, and content generation. The aviation industry is characterized by an…

计算与语言 · 计算机科学 2023-11-30 Liya Wang , Jason Chou , Xin Zhou , Alex Tien , Diane M Baumgartner

Large language models (LLMs) support data analysis through conversational user interfaces, as exemplified in OpenAI's ChatGPT (formally known as Advanced Data Analysis or Code Interpreter). Essentially, LLMs produce code for accomplishing…

人机交互 · 计算机科学 2024-08-06 Liwenhan Xie , Chengbo Zheng , Haijun Xia , Huamin Qu , Chen Zhu-Tian

Large language models (LLMs) have facilitated significant strides in generating conversational agents, enabling seamless, contextually relevant dialogues across diverse topics. However, the existing LLM-driven conversational agents have…

人机交互 · 计算机科学 2024-02-26 Juhye Ha , Hyeon Jeon , DaEun Han , Jinwook Seo , Changhoon Oh

Integrated into websites, LLM-powered chatbots offer alternative means of navigation and information retrieval, leading to a shift in how users access information on the web. Yet, predominantly closed-sourced solutions limit proliferation…

人工智能 · 计算机科学 2025-04-07 Lars Krupp , Daniel Geißler , Peter Hevesi , Marco Hirsch , Paul Lukowicz , Jakob Karolus

Generative artificial intelligence (AI) and large language models (LLMs) have gained rapid popularity through publicly available tools such as ChatGPT. The adoption of LLMs for personal and professional use is fueled by the natural…

计算与语言 · 计算机科学 2024-07-25 Sinan Abdulhak , Wayne Hubbard , Karthik Gopalakrishnan , Max Z. Li

Modern software systems are subjected to various types of uncertainties arising from context, environment, etc. To this end, self-adaptation techniques have been sought out as potential solutions. Although recent advances in self-adaptation…

软件工程 · 计算机科学 2024-04-16 Raghav Donakanti , Prakhar Jain , Shubham Kulkarni , Karthik Vaidhyanathan

Recently, both closed-source LLMs and open-source communities have made significant strides, outperforming humans in various general domains. However, their performance in specific professional domains such as medicine, especially within…

计算与语言 · 计算机科学 2024-12-24 Lulu Zhao , Weihao Zeng , Xiaofeng Shi , Hua Zhou

The scarcity of non-English data limits the development of non-English large language models (LLMs). Transforming English-centric LLMs to non-English has been identified as an effective and resource-efficient method. Previous works start…