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Large language models (LLMs) have undergone significant expansion and have been increasingly integrated across various domains. Notably, in the realm of robot task planning, LLMs harness their advanced reasoning and language comprehension…

Large Language Models (LLMs) have transformed natural language processing tasks successfully. Yet, their large size and high computational needs pose challenges for practical use, especially in resource-limited settings. Model compression…

Computation and Language · Computer Science 2024-07-31 Xunyu Zhu , Jian Li , Yong Liu , Can Ma , Weiping Wang

Large models have emerged as the most recent groundbreaking achievements in artificial intelligence, and particularly machine learning. However, when it comes to graphs, large models have not achieved the same level of success as in other…

Machine Learning · Computer Science 2023-11-14 Ziwei Zhang , Haoyang Li , Zeyang Zhang , Yijian Qin , Xin Wang , Wenwu Zhu

This paper presents several novel findings on the explainability of vision reflection in large multimodal models (LMMs). First, we show that prompting an LMM to verify the prediction of a specialized vision model can improve recognition…

Computer Vision and Pattern Recognition · Computer Science 2025-08-12 Guoyuan An , JaeYoon Kim , SungEui Yoon

Autonomous Vehicles (AVs) are transforming the future of transportation through advances in intelligent perception, decision-making, and control systems. However, their success is tied to one core capability, reliable object detection in…

Computer Vision and Pattern Recognition · Computer Science 2026-04-13 Sayed Pedram Haeri Boroujeni , Niloufar Mehrabi , Hazim Alzorgan , Mahlagha Fazeli , Abolfazl Razi

The startling success of ChatGPT and other large language models (LLMs) using transformer-based generative neural network architecture in applications such as natural language processing and image synthesis has many researchers excited…

Artificial Intelligence · Computer Science 2024-11-05 Venkat Venkatasubramanian , Arijit Chakraborty

The advent of Large Language Models (LLMs) has brought in a new era of possibilities in the realm of education. This survey paper summarizes the various technologies of LLMs in educational settings from multifaceted perspectives,…

Computation and Language · Computer Science 2024-04-03 Shen Wang , Tianlong Xu , Hang Li , Chaoli Zhang , Joleen Liang , Jiliang Tang , Philip S. Yu , Qingsong Wen

The rapid advancement of Transformer-based models has reshaped the landscape of uncrewed aerial vehicle (UAV) systems by enhancing perception, decision-making, and autonomy. This review paper systematically categorizes and evaluates recent…

Computer Vision and Pattern Recognition · Computer Science 2025-08-19 Hamza Kheddar , Yassine Habchi , Mohamed Chahine Ghanem , Mustapha Hemis , Dusit Niyato

The applications of Vision-Language Models (VLMs) in the field of Autonomous Driving (AD) have attracted widespread attention due to their outstanding performance and the ability to leverage Large Language Models (LLMs). By incorporating…

Computer Vision and Pattern Recognition · Computer Science 2024-06-25 Xingcheng Zhou , Mingyu Liu , Ekim Yurtsever , Bare Luka Zagar , Walter Zimmer , Hu Cao , Alois C. Knoll

Large language models (LLMs) have not only revolutionized the field of natural language processing (NLP) but also have the potential to bring a paradigm shift in many other fields due to their remarkable abilities of language understanding,…

Information Retrieval · Computer Science 2024-10-29 Qi Wang , Jindong Li , Shiqi Wang , Qianli Xing , Runliang Niu , He Kong , Rui Li , Guodong Long , Yi Chang , Chengqi Zhang

Large language models (LLMs) have significantly advanced in various fields and intelligent agent applications. However, current LLMs that learn from human or external model supervision are costly and may face performance ceilings as task…

Computation and Language · Computer Science 2024-06-04 Zhengwei Tao , Ting-En Lin , Xiancai Chen , Hangyu Li , Yuchuan Wu , Yongbin Li , Zhi Jin , Fei Huang , Dacheng Tao , Jingren Zhou

Large Language Models (LLMs) have emerged as a transformative power in enhancing natural language comprehension, representing a significant stride toward artificial general intelligence. The application of LLMs extends beyond conventional…

Large language models (LLMs) are transforming how students learn by providing readily available tools that can quickly augment or complete various learning activities with non-trivial performance. Similar paradigm shifts have occurred in…

Human-Computer Interaction · Computer Science 2025-07-29 Rahul R. Divekar , Sophia Guerra , Lisette Gonzalez , Natasha Boos , Helen Zhou

Pre-trained large language models (LLMs) exhibit powerful capabilities for generating natural text. Evolutionary algorithms (EAs) can discover diverse solutions to complex real-world problems. Motivated by the common collective and…

Neural and Evolutionary Computing · Computer Science 2025-03-10 Chao Wang , Jiaxuan Zhao , Licheng Jiao , Lingling Li , Fang Liu , Shuyuan Yang

Large Language Models (LLMs) have emerged as powerful tools for natural language processing tasks, revolutionizing the field with their ability to understand and generate human-like text. In this paper, we present a comprehensive survey of…

Hardware Architecture · Computer Science 2024-09-06 Nikoletta Koilia , Christoforos Kachris

Large language models (LLMs) are currently at the forefront of intertwining artificial intelligence (AI) systems with human communication and everyday life. Thus, aligning them with human values is of great importance. However, given the…

Computation and Language · Computer Science 2024-06-06 Thilo Hagendorff

GUIs have long been central to human-computer interaction, providing an intuitive and visually-driven way to access and interact with digital systems. The advent of LLMs, particularly multimodal models, has ushered in a new era of GUI…

Artificial Intelligence · Computer Science 2025-05-07 Chaoyun Zhang , Shilin He , Jiaxu Qian , Bowen Li , Liqun Li , Si Qin , Yu Kang , Minghua Ma , Guyue Liu , Qingwei Lin , Saravan Rajmohan , Dongmei Zhang , Qi Zhang

Vision-Language Models (VLMs) have rapidly advanced by leveraging powerful pre-trained Large Language Models (LLMs) as core reasoning backbones. As new and more capable LLMs emerge with improved reasoning, instruction-following, and…

Artificial Intelligence · Computer Science 2026-04-14 Sameera Horawalavithana , Lauren Phillips , Ian Stewart , Sai Munikoti , Karl Pazdernik

The rapid advancements in Large Language Models (LLMs) have unlocked transformative possibilities in natural language processing, particularly within the financial sector. Financial data is often embedded in intricate relationships across…

Statistical Finance · Quantitative Finance 2026-05-21 Alejandro Lopez-Lira , Jihoon Kwon , Sangwoon Yoon , Jy-yong Sohn , Chanyeol Choi

Recent advances in Generative Artificial Intelligence, particularly Large Language Models (LLMs), have stimulated growing interest in automating or assisting Business Process Modeling tasks using natural language. Several approaches have…

Software Engineering · Computer Science 2026-04-16 João Bettencourt , Sérgio Guerreiro