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The rapid development of large language models (LLMs) has significantly transformed the field of artificial intelligence, demonstrating remarkable capabilities in natural language processing and moving towards multi-modal functionality.…

Time series analysis is essential for comprehending the complexities inherent in various realworld systems and applications. Although large language models (LLMs) have recently made significant strides, the development of artificial general…

Machine Learning · Computer Science 2024-06-04 Ming Jin , Yifan Zhang , Wei Chen , Kexin Zhang , Yuxuan Liang , Bin Yang , Jindong Wang , Shirui Pan , Qingsong Wen

The planning ability of Large Language Models (LLMs) has garnered increasing attention in recent years due to their remarkable capacity for multi-step reasoning and their ability to generalize across a wide range of domains. While some…

Artificial Intelligence · Computer Science 2025-02-19 Mohamed Aghzal , Erion Plaku , Gregory J. Stein , Ziyu Yao

Embodied AI aims to develop intelligent systems with physical forms capable of perceiving, decision-making, acting, and learning in real-world environments, providing a promising way to Artificial General Intelligence (AGI). Despite decades…

Robotics · Computer Science 2025-08-15 Wenlong Liang , Rui Zhou , Yang Ma , Bing Zhang , Songlin Li , Yijia Liao , Ping Kuang

Optimization algorithms and large language models (LLMs) enhance decision-making in dynamic environments by integrating artificial intelligence with traditional techniques. LLMs, with extensive domain knowledge, facilitate intelligent…

Neural and Evolutionary Computing · Computer Science 2024-05-17 Sen Huang , Kaixiang Yang , Sheng Qi , Rui Wang

Large language models (LLMs) have triggered tremendous success to empower our daily life by generative information. The personalization of LLMs could further contribute to their applications due to better alignment with human intents.…

Machine Learning · Computer Science 2024-03-12 Yuxuan Chen , Rongpeng Li , Zhifeng Zhao , Chenghui Peng , Jianjun Wu , Ekram Hossain , Honggang Zhang

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…

Artificial Intelligence · Computer Science 2025-09-24 Zhiyu Kan , Wensheng Gan , Zhenlian Qi , Philip S. Yu

Ubiquitous sensors and smart devices from factories and communities are generating massive amounts of data, and ever-increasing computing power is driving the core of computation and services from the cloud to the edge of the network. As an…

Networking and Internet Architecture · Computer Science 2020-06-02 Xiaofei Wang , Yiwen Han , Victor C. M. Leung , Dusit Niyato , Xueqiang Yan , Xu Chen

Large Language Models (LLMs) have demonstrated remarkable language understanding and generation capabilities. However, training, deploying, and accessing these models pose notable challenges, including resource-intensive demands, extended…

Computation and Language · Computer Science 2024-01-31 Souvika Sarkar , Mohammad Fakhruddin Babar , Monowar Hasan , Shubhra Kanti Karmaker

The rapid advancement of artificial intelligence (AI) technologies has led to an increasing deployment of AI models on edge and terminal devices, driven by the proliferation of the Internet of Things (IoT) and the need for real-time data…

Artificial Intelligence · Computer Science 2025-03-18 Xubin Wang , Zhiqing Tang , Jianxiong Guo , Tianhui Meng , Chenhao Wang , Tian Wang , Weijia Jia

Large Language Models (LLMs), AI models trained on massive text corpora with remarkable language understanding and generation capabilities, are transforming the field of Autonomous Driving (AD). As AD systems evolve from rule-based and…

Artificial Intelligence · Computer Science 2024-07-30 Yun Li , Kai Katsumata , Ehsan Javanmardi , Manabu Tsukada

The rapid evolution of large language models (LLMs) has pushed their boundaries to many applications in various domains. Recently, the research community has started to evaluate their potential adoption in autonomous vehicles and especially…

Robotics · Computer Science 2025-09-09 Petros Loukas , David Bassir , Savvas Chatzichristofis , Angelos Amanatiadis

With mobile, IoT and sensor devices becoming pervasive in our life and recent advances in Edge Computational Intelligence (e.g., Edge AI/ML), it became evident that the traditional methods for training AI/ML models are becoming obsolete,…

Machine Learning · Computer Science 2023-06-21 Ahmed M. Abdelmoniem

Human Intelligence (HI) excels at combining basic skills to solve complex tasks. This capability is vital for Artificial Intelligence (AI) and should be embedded in comprehensive AI Agents, enabling them to harness expert models for complex…

Artificial Intelligence · Computer Science 2023-11-06 Yingqiang Ge , Wenyue Hua , Kai Mei , Jianchao Ji , Juntao Tan , Shuyuan Xu , Zelong Li , Yongfeng Zhang

Large language models (LLMs) are transforming society, powering applications from smartphone assistants to autonomous driving. Yet cloud-based LLM services alone cannot serve a growing class of applications, including those operating under…

Signal Processing · Electrical Eng. & Systems 2026-05-12 Liangqi Yuan , Wenzhi Fang , Shiqiang Wang , H. Vincent Poor , Christopher G. Brinton

The convergence of generative large language models (LLMs), edge networks, and multi-agent systems represents a groundbreaking synergy that holds immense promise for future wireless generations, harnessing the power of collective…

Multiagent Systems · Computer Science 2023-07-07 Hang Zou , Qiyang Zhao , Lina Bariah , Mehdi Bennis , Merouane Debbah

Large Language Models (LLMs) have delivered impressive results in language understanding, generation, reasoning, and pushes the ability boundary of multimodal models. Transformer models, as the foundation of modern LLMs, offer a strong…

Computation and Language · Computer Science 2025-08-14 Weigao Sun , Jiaxi Hu , Yucheng Zhou , Jusen Du , Disen Lan , Kexin Wang , Tong Zhu , Xiaoye Qu , Yu Zhang , Xiaoyu Mo , Daizong Liu , Yuxuan Liang , Wenliang Chen , Guoqi Li , Yu Cheng

A Language Model is a term that encompasses various types of models designed to understand and generate human communication. Large Language Models (LLMs) have gained significant attention due to their ability to process text with human-like…

Computation and Language · Computer Science 2024-06-12 Sylvio Barbon Junior , Paolo Ceravolo , Sven Groppe , Mustafa Jarrar , Samira Maghool , Florence Sèdes , Soror Sahri , Maurice Van Keulen

Unmanned Aerial Vehicles (UAVs) have emerged as a transformative technology across diverse sectors, offering adaptable solutions to complex challenges in both military and civilian domains. Their expanding capabilities present a platform…

Artificial Intelligence · Computer Science 2024-05-06 Shumaila Javaid , Nasir Saeed , Bin He

Large language models (LLMs) are transforming electronic design automation (EDA) by enhancing design stages such as schematic design, simulation, netlist synthesis, and place-and-route. Existing methods primarily focus these optimisations…

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