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The upsurge in pre-trained large models started by ChatGPT has swept across the entire deep learning community. Such powerful models demonstrate advanced generative ability and multimodal understanding capability, which quickly set new…

计算机视觉与模式识别 · 计算机科学 2025-02-28 Ning Ding , Yehui Tang , Zhongqian Fu , Chao Xu , Kai Han , Yunhe Wang

Recent Large Language Models (LLMs) have demonstrated significant capabilities in generating code snippets directly from problem statements. This increasingly automated process mirrors traditional human-led software development, where code…

软件工程 · 计算机科学 2024-10-23 Noble Saji Mathews , Meiyappan Nagappan

Recent advances in large language models (LLMs) have introduced new paradigms in software development, including vibe coding, AI-assisted coding, and agentic coding, fundamentally reshaping how software is designed, implemented, and…

软件工程 · 计算机科学 2026-01-01 Hung-Fu Chang , MohammadShokrolah Shirazi , Lizhou Cao , Supannika Koolmanojwong Mobasser

Algorithm design is crucial for effective problem-solving across various domains. The advent of Large Language Models (LLMs) has notably enhanced the automation and innovation within this field, offering new perspectives and promising…

Large Language Models (LLMs) have become extremely potent instruments with exceptional capacities for comprehending and producing human-like text in a wide range of applications. However, the increasing size and complexity of LLMs present…

机器学习 · 计算机科学 2024-06-18 Yingbing Huang , Lily Jiaxin Wan , Hanchen Ye , Manvi Jha , Jinghua Wang , Yuhong Li , Xiaofan Zhang , Deming Chen

The disruptive technology provided by large-scale pre-trained language models (LLMs) such as ChatGPT or GPT-4 has received significant attention in several application domains, often with an emphasis on high-level opportunities and…

人机交互 · 计算机科学 2023-06-27 Philippe J. Giabbanelli

With the emergence of Large Language Models (LLMs) and Vision Foundation Models (VFMs), multimodal AI systems benefiting from large models have the potential to equally perceive the real world, make decisions, and control tools as humans.…

Despite the remarkable code generation abilities of large language models LLMs, they still face challenges in complex task handling. Robot development, a highly intricate field, inherently demands human involvement in task allocation and…

机器人学 · 计算机科学 2024-02-19 Zhirong Luan , Yujun Lai , Rundong Huang , Xiaruiqi Lan , Liangjun Chen , Badong Chen

With the rapid advancement of large language models (LLMs) and robotics, service robots are increasingly becoming an integral part of daily life, offering a wide range of services in complex environments. To deliver these services…

机器人学 · 计算机科学 2025-10-28 Shaohan Bian , Ying Zhang , Guohui Tian , Zhiqiang Miao , Edmond Q. Wu , Simon X. Yang , Changchun Hua

Large Language Models (LLMs) have recently developed new advanced functionalities. Their effectiveness relies on statistical learning and generalization capabilities. However, they face limitations in internalizing the data they process and…

机器学习 · 计算机科学 2026-01-14 Farah Ben Slama , Frédéric Armetta

Large Language Models (LLMs) have demonstrated strong reasoning abilities, making them suitable for complex tasks such as graph computation. Traditional reasoning steps paradigm for graph problems is hindered by unverifiable steps, limited…

计算与语言 · 计算机科学 2024-10-28 Qifan Zhang , Xiaobin Hong , Jianheng Tang , Nuo Chen , Yuhan Li , Wenzhong Li , Jing Tang , Jia Li

In recent years, multimodal large language models (MLLMs) have shown strong potential in real-world applications. They are developing rapidly due to their remarkable ability to comprehend multimodal information and their inherent powerful…

计算机视觉与模式识别 · 计算机科学 2024-08-02 Bozhou Li , Hao Liang , Zimo Meng , Wentao Zhang

Generative artificial intelligence attracts significant attention, especially with the introduction of large language models. Its capabilities are being exploited to solve various software engineering tasks. Thanks to their ability to…

软件工程 · 计算机科学 2026-02-06 Lukas Radosky , Ivan Polasek

This paper explores the use of Large Language Models (LLMs) and in particular ChatGPT in programming, source code analysis, and code generation. LLMs and ChatGPT are built using machine learning and artificial intelligence techniques, and…

软件工程 · 计算机科学 2023-06-12 Ahmed R. Sadik , Antonello Ceravola , Frank Joublin , Jibesh Patra

Artificial intelligence (AI) technology has advanced rapidly in recent years, with large language models (LLMs) emerging as a significant breakthrough. LLMs are increasingly making an impact across various industries, with the medical field…

人工智能 · 计算机科学 2025-09-24 Zhiyu Kan , Wensheng Gan , Zhenlian Qi , Philip S. Yu

Large language models (LLMs) such as ChatGPT have gained considerable interest across diverse research communities. Their notable ability for text completion and generation has inaugurated a novel paradigm for language-interfaced problem…

Autonomous driving technology, a catalyst for revolutionizing transportation and urban mobility, has the tend to transition from rule-based systems to data-driven strategies. Traditional module-based systems are constrained by cumulative…

人工智能 · 计算机科学 2024-08-13 Zhenjie Yang , Xiaosong Jia , Hongyang Li , Junchi Yan

Large Language Models (LLMs) have shown the potential to be valuable teaching tools, with the potential of giving every student a personalized tutor. However, one challenge with using LLMs to learn new concepts is that when learning a topic…

人机交互 · 计算机科学 2024-11-19 Steve Oney , Yue Shen , Fei Wu , Young Suh Hong , Ziang Wang , Yamini Khajekar , Jiacheng Zhang , April Yi Wang

Cutting-edge Artificial Intelligence (AI) techniques keep reshaping our view of the world. For example, Large Language Models (LLMs) based applications such as ChatGPT have shown the capability of generating human-like conversation on…

This paper presents a comprehensive survey of ChatGPT-related (GPT-3.5 and GPT-4) research, state-of-the-art large language models (LLM) from the GPT series, and their prospective applications across diverse domains. Indeed, key innovations…