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Large language models (LLMs) have substantially advanced machine learning research, including natural language processing, computer vision, data mining, etc., yet they still exhibit critical limitations in explainability, reliability,…

Machine Learning · Computer Science 2025-09-19 Xin Wang , Haoyang Li , Haibo Chen , Zeyang Zhang , Wenwu Zhu

Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs) are revolutionizing network management systems, paving the way towards fully autonomous and self-optimizing communication systems. These models enable networks to…

Networking and Internet Architecture · Computer Science 2026-01-07 Faisal Zaman , Ouns Bouachir , Moayad Aloqaily , Ismaeel Al Ridhawi

As one of the most advanced techniques in AI, Retrieval-Augmented Generation (RAG) can offer reliable and up-to-date external knowledge, providing huge convenience for numerous tasks. Particularly in the era of AI-Generated Content (AIGC),…

Computation and Language · Computer Science 2024-06-18 Wenqi Fan , Yujuan Ding , Liangbo Ning , Shijie Wang , Hengyun Li , Dawei Yin , Tat-Seng Chua , Qing Li

Recent developments in Generative AI, Computer Vision, and Natural Language Processing have led to an increased integration of AI models into various products. This widespread adoption of AI requires significant efforts in deploying these…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-23 Kamil Kojs

The emergence of Transformer-based Large Language Models (LLMs) has substantially augmented the capabilities of Natural Language Processing (NLP), thereby intensifying the demand for computational resources. Therefore, enhancing efficiency…

Computation and Language · Computer Science 2026-01-05 Wazib Ansar , Saptarsi Goswami , Amlan Chakrabarti

Strong Artificial Intelligence (Strong AI) or Artificial General Intelligence (AGI) with abstract reasoning ability is the goal of next-generation AI. Recent advancements in Large Language Models (LLMs), along with the emerging field of…

Computation and Language · Computer Science 2024-01-19 Yiqi Wang , Wentao Chen , Xiaotian Han , Xudong Lin , Haiteng Zhao , Yongfei Liu , Bohan Zhai , Jianbo Yuan , Quanzeng You , Hongxia Yang

Artificial intelligence is making spectacular progress, and one of the best examples is the development of large language models (LLMs) such as OpenAI's GPT series. In these lectures, written for readers with a background in mathematics or…

Computation and Language · Computer Science 2023-10-09 Michael R. Douglas

Large Language Models (LLMs) are a class of generative AI models built using the Transformer network, capable of leveraging vast datasets to identify, summarize, translate, predict, and generate language. LLMs promise to revolutionize…

Information Retrieval · Computer Science 2024-03-05 Chunhe Ni , Jiang Wu , Hongbo Wang , Wenran Lu , Chenwei Zhang

Recent advancements in generative artificial intelligence (AI) have demonstrated its substantial potential in various fields. However, its application in port logistics remains underexplored. Ports are complex operational environments where…

Computational Engineering, Finance, and Science · Computer Science 2026-02-25 Minseop Kim , Jaeeun Kwon , Hanbyeol Park , Kikun Park , Taekhyun Park , Hyerim Bae

The advancement of generative AI, particularly large language models (LLMs), has a significant impact on politics and democracy, offering potential across various domains, including policymaking, political communication, analysis, and…

Computation and Language · Computer Science 2024-12-17 Goshi Aoki

Large language models (LLMs) have revolutionized the state-of-the-art of many different natural language processing tasks. Although serving LLMs is computationally and memory demanding, the rise of Small Language Models (SLMs) offers new…

Computation and Language · Computer Science 2025-08-11 Pol G. Recasens , Yue Zhu , Chen Wang , Eun Kyung Lee , Olivier Tardieu , Alaa Youssef , Jordi Torres , Josep Ll. Berral

The emergence of Large Language Models (LLMs) has transformed information access, with current LLMs also powering deep research systems that can generate comprehensive report-style answers, through planned iterative search, retrieval, and…

Computation and Language · Computer Science 2025-06-18 Bruno Martins , Piotr Szymański , Piotr Gramacki

In the era of information overload, recommendation systems play a pivotal role in filtering data and delivering personalized content. Recent advancements in feature interaction and user behavior modeling have significantly enhanced the…

Information Retrieval · Computer Science 2025-02-20 Hao Wang , Wei Guo , Luankang Zhang , Jin Yao Chin , Yufei Ye , Huifeng Guo , Yong Liu , Defu Lian , Ruiming Tang , Enhong Chen

Modern software systems are subjected to various types of uncertainties arising from context, environment, etc. To this end, self-adaptation techniques have been sought out as potential solutions. Although recent advances in self-adaptation…

Software Engineering · Computer Science 2024-04-16 Raghav Donakanti , Prakhar Jain , Shubham Kulkarni , Karthik Vaidhyanathan

This paper explores the nuanced landscape of generative AI (genAI), particularly focusing on neural network-based models like Large Language Models (LLMs). While genAI garners both optimistic enthusiasm and sceptical criticism, this work…

Computers and Society · Computer Science 2024-10-23 Ante Prodan , Jo-An Occhipinti , Rehez Ahlip , Goran Ujdur , Harris A. Eyre , Kyle Goosen , Luke Penza , Mark Heffernan

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…

Quantitative Methods · Quantitative Biology 2025-02-04 Jiajia Liu , Mengyuan Yang , Yankai Yu , Haixia Xu , Tiangang Wang , Kang Li , Xiaobo Zhou

The rapid advancement of large language models (LLMs) has redefined artificial intelligence (AI), pushing the boundaries of AI research and enabling unbounded possibilities for both academia and the industry. However, LLM development faces…

Software Engineering · Computer Science 2025-07-01 Hongzhou Rao , Yanjie Zhao , Xinyi Hou , Shenao Wang , Haoyu Wang

Large language models (LLMs) are powerful artificial intelligence (AI) tools transforming how research is conducted. However, their use in research has been met with skepticism, due to concerns about hallucinations, biases and potential…

Artificial Intelligence · Computer Science 2025-07-08 Ruian Ke , Ruy M. Ribeiro

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,…

Information Retrieval · Computer Science 2025-01-16 Jin Chen , Zheng Liu , Xu Huang , Chenwang Wu , Qi Liu , Gangwei Jiang , Yuanhao Pu , Yuxuan Lei , Xiaolong Chen , Xingmei Wang , Defu Lian , Enhong Chen

The rise of Multimodal Large Language Models (MLLMs) has become a transformative force in the field of artificial intelligence, enabling machines to process and generate content across multiple modalities, such as text, images, audio, and…

Computation and Language · Computer Science 2025-12-09 Ming Li , Keyu Chen , Ziqian Bi , Ming Liu , Xinyuan Song , Zekun Jiang , Tianyang Wang , Benji Peng , Qian Niu , Junyu Liu , Jinlang Wang , Sen Zhang , Xuanhe Pan , Jiawei Xu , Pohsun Feng