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Large language models are redefining software engineering by implementing AI-powered techniques throughout the whole software development process, including requirement gathering, software architecture, code generation, testing, and…

软件工程 · 计算机科学 2024-06-11 Malik Abdul Sami , Muhammad Waseem , Zeeshan Rasheed , Mika Saari , Kari Systä , Pekka Abrahamsson

Recent advancements in the field of large language models have made it possible to use language models for advanced reasoning. In this paper we leverage this ability for designing complex project plans based only on knowing the current…

人工智能 · 计算机科学 2023-06-07 Martin Schroder

Highly effective, task-specific prompts are often heavily engineered by experts to integrate detailed instructions and domain insights based on a deep understanding of both instincts of large language models (LLMs) and the intricacies of…

计算与语言 · 计算机科学 2023-12-08 Xinyuan Wang , Chenxi Li , Zhen Wang , Fan Bai , Haotian Luo , Jiayou Zhang , Nebojsa Jojic , Eric P. Xing , Zhiting Hu

Driven by the "user-centered design" philosophy, this paper first outlines the human factors problems of the flight deck automation for large civil aircraft and the human factors research carried out based on the "human-centered automation"…

人机交互 · 计算机科学 2023-03-07 Wei Xu

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…

Large Language Model (LLM)-based agents have demonstrated strong capabilities across a wide range of tasks, and their application in the medical domain holds particular promise due to the demand for high generalizability and reliance on…

人工智能 · 计算机科学 2025-08-18 Yangyang Zhuang , Wenjia Jiang , Jiayu Zhang , Ze Yang , Joey Tianyi Zhou , Chi Zhang

Large language models have demonstrated strong capabilities in individual software engineering tasks, yet most autonomous systems still treat issue resolution as a monolithic or pipeline-based process. In contrast, real-world software…

人工智能 · 计算机科学 2026-02-10 Nikita Benkovich , Vitalii Valkov

Recent developments in language models have created new opportunities in air traffic control studies. The current focus is primarily on text and language-based use cases. However, these language models may offer a higher potential impact in…

人工智能 · 计算机科学 2024-09-17 Justas Andriuškevičius , Junzi Sun

With the advancement of web techniques, they have significantly revolutionized various aspects of people's lives. Despite the importance of the web, many tasks performed on it are repetitive and time-consuming, negatively impacting overall…

The core challenge in automotive exterior design is balancing subjective aesthetics with objective aerodynamic performance while dramatically accelerating the development cycle. To address this, we propose a novel, LLM-driven multi-agent…

计算工程、金融与科学 · 计算机科学 2025-08-06 Xinyu Jin , Shengmao Yan , Qingtao Wang , Shisong Deng , Yanzhen Jiang , Shuangyao Zhao

Analog layout design heavily involves interactive processes between humans and design tools. Electronic Design Automation (EDA) tools for this task are usually designed to use scripting commands or visualized buttons for manipulation,…

硬件体系结构 · 计算机科学 2025-01-14 Bingyang Liu , Haoyi Zhang , Xiaohan Gao , Zichen Kong , Xiyuan Tang , Yibo Lin , Runsheng Wang , Ru Huang

Process models are frequently used in software engineering to describe business requirements, guide software testing and control system improvement. However, traditional process modeling methods often require the participation of numerous…

人工智能 · 计算机科学 2024-08-08 Leilei Lin , Yumeng Jin , Yingming Zhou , Wenlong Chen , Chen Qian

In recent years, there has been an increasing demand for customizable 3D virtual spaces. Due to the significant human effort required to create these virtual spaces, there is a need for efficiency in virtual space creation. While existing…

人机交互 · 计算机科学 2024-05-15 Yuichi Sasazawa , Yasuhiro Sogawa

Since the advent of Large Language Models (LLMs), various research based on such models have maintained significant academic attention and impact, especially in AI and robotics. In this paper, we propose a multi-agent framework with LLMs to…

机器人学 · 计算机科学 2025-05-12 Junhong Chen , Ziqi Yang , Haoyuan G Xu , Dandan Zhang , George Mylonas

Recent trends are emerging in the use of Large Language Models (LLMs) as autonomous agents that take actions based on the content of the user text prompts. We intend to apply these concepts to the field of Guidance, Navigation, and Control…

Agents, as user-centric tools, are increasingly deployed for human task delegation, assisting with a broad spectrum of requests by generating thoughts, engaging with user proxies, and producing action plans. However, agents based on large…

多智能体系统 · 计算机科学 2024-10-02 Wenyue Hua , Mengting Wan , Shashank Vadrevu , Ryan Nadel , Yongfeng Zhang , Chi Wang

Large Language Model (LLM) Agents have demonstrated remarkable capabilities in task automation and intelligent decision-making, driving the widespread adoption of agent development frameworks such as LangChain and AutoGen. However, these…

人工智能 · 计算机科学 2025-10-10 Jiabin Tang , Tianyu Fan , Chao Huang

Agent technology, a new paradigm in software engineering, has received attention from research and industry since 1990s. However, it is still not used widely to date because it requires expertise on both programming and agent technology;…

多智能体系统 · 计算机科学 2016-01-26 Siyao Li

MetaDesigner introduces a transformative framework for artistic typography synthesis, powered by Large Language Models (LLMs) and grounded in a user-centric design paradigm. Its foundation is a multi-agent system comprising the Pipeline,…

Large language models (LLMs) have fueled many intelligent web agents, but most existing ones perform far from satisfying in real-world web navigation tasks due to three factors: (1) the complexity of HTML text data (2) versatility of…

计算与语言 · 计算机科学 2024-10-15 Hanyu Lai , Xiao Liu , Iat Long Iong , Shuntian Yao , Yuxuan Chen , Pengbo Shen , Hao Yu , Hanchen Zhang , Xiaohan Zhang , Yuxiao Dong , Jie Tang