中文
相关论文

相关论文: Large Scale Foundation Models for Intelligent Manu…

200 篇论文

Large Artificial Intelligence Models (LAMs) powered by massive datasets, extensive parameter scales, and extensive computational resources, leading to significant transformations across various industries. Yet, their practical deployment on…

机器学习 · 计算机科学 2026-04-22 Xianke Qiang , Hongda Liu , Xinran Zhang , Zheng Chang , Ying-Chang Liang

This paper presents the Unified Smart Factory Model (USFM), a comprehensive framework designed to translate high-level sustainability goals into measurable factory-level indicators with a systematic information map of manufacturing…

人工智能 · 计算机科学 2025-12-15 Ishaan Kaushal , Amaresh Chakrabarti

Efficiently deploying large language models (LLMs) in real-world scenarios remains a critical challenge, primarily due to hardware heterogeneity, inference framework limitations, and workload complexities.Efficiently deploying large…

人工智能 · 计算机科学 2025-01-28 Yanyu Chen , Ganhong Huang

While Large Language Models (LLMs) achieve near-human performance on standard benchmarks, their capabilities often fail to generalize to complex, real-world problems. To bridge this gap, we introduce DeepQuestion, a scalable, automated…

To address challenges in the digital economy's landscape of digital intelligence, large language models (LLMs) have been developed. Improvements in computational power and available resources have significantly advanced LLMs, allowing their…

计算与语言 · 计算机科学 2024-05-24 Yanxin Zheng , Wensheng Gan , Zefeng Chen , Zhenlian Qi , Qian Liang , Philip S. Yu

Large language models (LLMs) are a class of artificial intelligence models based on deep learning, which have great performance in various tasks, especially in natural language processing (NLP). Large language models typically consist of…

定量方法 · 定量生物学 2025-02-04 Jiajia Liu , Mengyuan Yang , Yankai Yu , Haixia Xu , Tiangang Wang , Kang Li , Xiaobo Zhou

Context: Empirical Software Engineering (ESE) faces increasing challenges due to data scale, methodological complexity, and reproducibility concerns. Large Language Models (LLMs) have emerged as promising tools to support empirical…

软件工程 · 计算机科学 2026-04-30 Victoria Gomes , Delaney Selb , Fabio Palomba , Rodrigo Spinola , David Lo

The implementation of artificial intelligence (AI) in business applications holds considerable promise for significant improvements. The development of AI systems is becoming increasingly complex, thereby underscoring the growing importance…

软件工程 · 计算机科学 2026-02-11 Nicolas Weeger , Annika Stiehl , Jóakim vom Kistowski , Stefan Geißelsöder , Christian Uhl

Time series analysis is pivotal in domains like financial forecasting and biomedical monitoring, yet traditional methods are constrained by limited nonlinear feature representation and long-term dependency capture. The emergence of Large…

机器学习 · 计算机科学 2025-06-16 Feifei Shi , Xueyan Yin , Kang Wang , Wanyu Tu , Qifu Sun , Huansheng Ning

Large Language Models (LLMs) have emerged as transformative tools in artificial intelligence (AI), exhibiting remarkable capabilities across diverse tasks such as text generation, reasoning, and decision-making. While their success has…

Large Language Models (LLMs) create exciting possibilities for powerful language processing tools to accelerate research in materials science. While LLMs have great potential to accelerate materials understanding and discovery, they…

材料科学 · 物理学 2024-09-26 Santiago Miret , N M Anoop Krishnan

Governments around the world aspire to ground decision-making on evidence. Many of the foundations of policy making - e.g. sensing patterns that relate to societal needs, developing evidence-based programs, forecasting potential outcomes of…

人工智能 · 计算机科学 2023-12-12 Theodore Wolf , Nantas Nardelli , John Shawe-Taylor , Maria Perez-Ortiz

The 6G wireless communications aim to establish an intelligent world of ubiquitous connectivity, providing an unprecedented communication experience. Large artificial intelligence models (LAMs) are characterized by significantly larger…

信息论 · 计算机科学 2025-05-07 Feibo Jiang , Cunhua Pan , Li Dong , Kezhi Wang , Merouane Debbah , Dusit Niyato , Zhu Han

The rapid advancement of Large Language Models (LLMs) has opened new possibilities in Multi-Robot Systems (MRS), enabling enhanced communication, task allocation and planning, and human-robot interaction. Unlike traditional single-robot and…

机器人学 · 计算机科学 2026-05-05 Peihan Li , Zijian An , Shams Abrar , Lifeng Zhou

The recent wave of artificial intelligence, epitomized by large language models (LLMs),has presented opportunities and challenges for methodological innovation in political science,sparking discussions on a potential paradigm shift in the…

计算机与社会 · 计算机科学 2025-11-06 Zhenyu Wang , Dequan Wang , Yi Xu , Lingfeng Zhou , Yiqi Zhou

Traditional industrial automation systems require specialized expertise to operate and complex reprogramming to adapt to new processes. Large language models offer the intelligence to make them more flexible and easier to use. However,…

系统与控制 · 电气工程与系统科学 2025-06-16 Yuchen Xia , Nasser Jazdi , Jize Zhang , Chaitanya Shah , Michael Weyrich

Large Language Models (LLMs) have achieved remarkable success across a wide range of natural language tasks, and recent efforts have sought to extend their capabilities to multimodal domains and resource-constrained environments. However,…

机器学习 · 计算机科学 2025-05-26 Yun-Da Tsai

The advent of large language models marks a revolutionary breakthrough in artificial intelligence. With the unprecedented scale of training and model parameters, the capability of large language models has been dramatically improved,…

Large Language Models (LLMs), such as ChatGPT, LLaMA, GLM, and PaLM, have exhibited remarkable performances across various tasks in recent years. However, LLMs face two main challenges in real-world applications. One challenge is that…

机器学习 · 计算机科学 2023-10-17 Tao Fan , Yan Kang , Guoqiang Ma , Weijing Chen , Wenbin Wei , Lixin Fan , Qiang Yang

This study analyzes the multiple functions of Large Language Models (LLMs) in transforming research and development (R&D) processes. By automating knowledge discovery, boosting hypothesis creation, integrating transdisciplinary insights,…

计算与语言 · 计算机科学 2025-11-25 Raha Aghaei , Ali A. Kiaei , Mahnaz Boush , Mahan Rofoosheh , Mohammad Zavvar
‹ 上一页 1 8 9 10 下一页 ›