中文
相关论文

相关论文: BIMgent: Towards Autonomous Building Modeling via …

200 篇论文

Autonomous agents empowered by Large Language Models (LLMs) have undergone significant improvements, enabling them to generalize across a broad spectrum of tasks. However, in real-world scenarios, cooperation among individuals is often…

Recent advancements in Large Language Models (LLMs) have led to the development of intelligent LLM-based agents capable of interacting with graphical user interfaces (GUIs). These agents demonstrate strong reasoning and adaptability,…

人工智能 · 计算机科学 2025-04-16 Wenjia Jiang , Yangyang Zhuang , Chenxi Song , Xu Yang , Joey Tianyi Zhou , Chi Zhang

Mobile device agent based on Multimodal Large Language Models (MLLM) is becoming a popular application. In this paper, we introduce Mobile-Agent, an autonomous multi-modal mobile device agent. Mobile-Agent first leverages visual perception…

计算与语言 · 计算机科学 2024-04-19 Junyang Wang , Haiyang Xu , Jiabo Ye , Ming Yan , Weizhou Shen , Ji Zhang , Fei Huang , Jitao Sang

This paper proposes an assistive system for architects that converts a large-scale point cloud into a standardized digital representation of a building for Building Information Modeling (BIM) applications. The process is known as…

计算机视觉与模式识别 · 计算机科学 2023-12-01 Weilian Song , Jieliang Luo , Dale Zhao , Yan Fu , Chin-Yi Cheng , Yasutaka Furukawa

The development of LLM-based autonomous agents for end-to-end software development represents a significant paradigm shift in software engineering. However, the scientific evaluation of these systems is hampered by significant challenges,…

软件工程 · 计算机科学 2025-11-07 Zhengran Zeng , Yixin Li , Rui Xie , Wei Ye , Shikun Zhang

Effort estimation is a crucial activity in agile software development, where teams collaboratively review, discuss, and estimate the effort required to complete user stories in a product backlog. Current practices in agile effort estimation…

软件工程 · 计算机科学 2025-09-19 Thanh-Long Bui , Hoa Khanh Dam , Rashina Hoda

Embodied task planning requires agents to execute long-horizon, goal-directed actions in complex 3D environments, where success depends on both immediate perception and accumulated experience across tasks. However, most existing LLM-based…

机器人学 · 计算机科学 2026-04-21 Xiaoyu Ma , Lianyu Hu , Wenbing Tang , Zixuan Hu , Zeqin Liao , Zhizhen Wu , Yang Liu

The adoption of Building Information Modeling (BIM) is beneficial in construction projects. However, it faces challenges due to the lack of a unified and scalable framework for converting 3D model details into BIM. This paper introduces…

计算机视觉与模式识别 · 计算机科学 2024-06-04 Ka Lung Cheung , Chi Chung Lee

This paper introduces a novel approach using Large Language Models (LLMs) integrated into an agent framework for flexible and effective personal mobility generation. LLMs overcome the limitations of previous models by effectively processing…

The recent advancement of autonomous agents powered by Large Language Models (LLMs) has demonstrated significant potential for automating tasks on mobile devices through graphical user interfaces (GUIs). Despite initial progress, these…

人机交互 · 计算机科学 2025-07-30 Yi Kong , Dianxi Shi , Guoli Yang , Zhang ke-di , Chenlin Huang , Xiaopeng Li , Songchang Jin

The integration of Large Language Models (LLMs) into software engineering has driven a transition from traditional rule-based systems to autonomous agentic systems capable of solving complex problems. However, systematic progress is…

Intelligent agents stand out as a potential path toward artificial general intelligence (AGI). Thus, researchers have dedicated significant effort to diverse implementations for them. Benefiting from recent progress in large language models…

Using commercial software for radio map generation and wireless network planning often require complex manual operations, posing significant challenges in terms of scalability, adaptability, and user-friendliness, due to heavy manual…

信息论 · 计算机科学 2025-02-14 Hongye Quan , Wanli Ni , Tong Zhang , Xiangyu Ye , Ziyi Xie , Shuai Wang , Yuanwei Liu , Hui Song

The emergence of Large Language Models (LLMs) with increasingly sophisticated natural language understanding and generative capabilities has sparked interest in the Agent-based Modelling (ABM) community. With their ability to summarize,…

Integrating multimodal foundation models has significantly enhanced autonomous agents' language comprehension, perception, and planning capabilities. However, while existing works adopt a \emph{task-centric} approach with minimal human…

机器人学 · 计算机科学 2024-08-21 Tim Schreiter , Rishi Hazra , Jens Rüppel , Andrey Rudenko

The construction industry is characterized by both high physical and psychological risks, yet supports of mental health remain limited. While advancements in artificial intelligence (AI), particularly large language models (LLMs), offer…

人机交互 · 计算机科学 2025-06-10 Fan Yang , Yuan Tian , Jiansong Zhang

Large Language Models (LLMs) have demonstrated remarkable planning abilities across various domains, including robotics manipulation and navigation. While recent efforts in robotics have leveraged LLMs both for high-level and low-level…

机器人学 · 计算机科学 2025-08-26 Harsh Singh , Rocktim Jyoti Das , Mingfei Han , Preslav Nakov , Ivan Laptev

Immersive rooms are increasingly popular augmented reality systems that support multi-agent interactions within a virtual world. However, despite extensive content creation and technological developments, insights about perceptually-driven…

人机交互 · 计算机科学 2025-12-22 Jerry M. Huang , Stefan T. Radev

Compliance checking is an essential part of a construction project. The recent rapid uptake of building information models (BIM) in the construction industry has created more opportunities for automated compliance checking (ACC). BIM…

计算与语言 · 计算机科学 2024-08-01 Stefan Fuchs , Michael Witbrock , Johannes Dimyadi , Robert Amor

Autonomous Graphical User Interface (GUI) agents powered by Multimodal Large Language Models (MLLMs) enable digital automation on end-user devices. While scaling both parameters and data has yielded substantial gains, advanced methods still…

人工智能 · 计算机科学 2026-04-16 Ziwei Wang , Junjie Zheng , Leyang Yang , Sheng Zhou , Xiaoxuan Tang , Zhouhua Fang , Zhiwei Liu , Dajun Chen , Yong Li , Jiajun Bu
‹ 上一页 1 8 9 10 下一页 ›