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Large language models (LLMs) have received considerable attention recently due to their outstanding comprehension and reasoning capabilities, leading to great progress in many fields. The advancement of LLM techniques also offers promising…

Systems and Control · Electrical Eng. & Systems 2024-09-17 Hao Zhou , Chengming Hu , Ye Yuan , Yufei Cui , Yili Jin , Can Chen , Haolun Wu , Dun Yuan , Li Jiang , Di Wu , Xue Liu , Charlie Zhang , Xianbin Wang , Jiangchuan Liu

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…

Machine Learning · Computer Science 2025-06-16 Feifei Shi , Xueyan Yin , Kang Wang , Wanyu Tu , Qifu Sun , Huansheng Ning

This paper provides a primer on Large Language Models (LLMs) and identifies their strengths, limitations, applications and research directions. It is intended to be useful to those in academia and industry who are interested in gaining an…

Computation and Language · Computer Science 2024-12-09 Sandra Johnson , David Hyland-Wood

In recent years, the rapid advancement and impressive capabilities of Large Language Models (LLMs) have been evident across various domains. This paper explores the application, implications, and potential of LLMs in building energy…

Systems and Control · Electrical Eng. & Systems 2023-12-20 Liang Zhang , Zhelun Chen

Large language models (LLMs) have emerged as transformative tools in medicine, with strong capabilities in language understanding, reasoning, and structured information extraction. Radiation oncology is particularly well suited for LLM…

Planning represents a fundamental capability of intelligent agents, requiring comprehensive environmental understanding, rigorous logical reasoning, and effective sequential decision-making. While Large Language Models (LLMs) have…

Artificial Intelligence · Computer Science 2025-05-27 Pengfei Cao , Tianyi Men , Wencan Liu , Jingwen Zhang , Xuzhao Li , Xixun Lin , Dianbo Sui , Yanan Cao , Kang Liu , Jun Zhao

Large Language Models (LLMs) have demonstrated impressive capabilities in a wide range of code generation tasks. However, generating code for certain domains remains challenging. One such domain is Computer-Aided Design (CAD) program, where…

Machine Learning · Computer Science 2026-03-10 Yan-Ying Chen , Dule Shu , Matthew Hong , Andrew Taber , Jonathan Li , Matthew Klenk

Large language models (LLMs) are introducing a paradigm shift in molecular discovery by enabling text-guided interaction with chemical spaces through natural language, symbolic notations, with emerging extensions to incorporate multi-modal…

Machine Learning · Computer Science 2025-05-23 Ziqing Wang , Kexin Zhang , Zihan Zhao , Yibo Wen , Abhishek Pandey , Han Liu , Kaize Ding

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…

Artificial Intelligence · Computer Science 2024-08-13 Zhenjie Yang , Xiaosong Jia , Hongyang Li , Junchi Yan

Large Language Models (LLMs) have made rapid progress in recent months and weeks, garnering significant public attention. This has sparked concerns about aligning these models with human values, their impact on labor markets, and the…

Computers and Society · Computer Science 2023-05-10 Pratyush Kumar

The utilization of large language models (LLMs) in the Healthcare domain has generated both excitement and concern due to their ability to effectively respond to freetext queries with certain professional knowledge. This survey outlines the…

Computation and Language · Computer Science 2025-01-28 Kai He , Rui Mao , Qika Lin , Yucheng Ruan , Xiang Lan , Mengling Feng , Erik Cambria

In many scientific fields, large language models (LLMs) have revolutionized the way text and other modalities of data (e.g., molecules and proteins) are handled, achieving superior performance in various applications and augmenting the…

Computation and Language · Computer Science 2024-10-01 Yu Zhang , Xiusi Chen , Bowen Jin , Sheng Wang , Shuiwang Ji , Wei Wang , Jiawei Han

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

Scientific workflow systems are increasingly popular for expressing and executing complex data analysis pipelines over large datasets, as they offer reproducibility, dependability, and scalability of analyses by automatic parallelization on…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-09 Mario Sänger , Ninon De Mecquenem , Katarzyna Ewa Lewińska , Vasilis Bountris , Fabian Lehmann , Ulf Leser , Thomas Kosch

Large language models (LLMs) and Vision-Language Models (VLMs) have been proven to excel at multiple tasks, such as commonsense reasoning. Powerful as these models can be, they are not grounded in the 3D physical world, which involves…

Computer Vision and Pattern Recognition · Computer Science 2023-07-25 Yining Hong , Haoyu Zhen , Peihao Chen , Shuhong Zheng , Yilun Du , Zhenfang Chen , Chuang Gan

Mathematical reasoning and optimization are fundamental to artificial intelligence and computational problem-solving. Recent advancements in Large Language Models (LLMs) have significantly improved AI-driven mathematical reasoning, theorem…

Artificial Intelligence · Computer Science 2025-03-25 Ali Forootani

The integration of Computer-Aided Diagnosis (CAD) with Large Language Models (LLMs) presents a promising frontier in clinical applications, notably in automating diagnostic processes akin to those performed by radiologists and providing…

Computer Vision and Pattern Recognition · Computer Science 2024-05-22 Zihao Zhao , Sheng Wang , Jinchen Gu , Yitao Zhu , Lanzhuju Mei , Zixu Zhuang , Zhiming Cui , Qian Wang , Dinggang Shen

The recent advancements in Large Language Models (LLMs), particularly conversational LLMs like ChatGPT, have prompted changes in a range of fields, including design. This study aims to examine the capabilities of ChatGPT in a human-centered…

Human-Computer Interaction · Computer Science 2023-02-16 A. Baki Kocaballi

The rapid evolution of specialized large language models (LLMs) has transitioned from simple domain adaptation to sophisticated native architectures, marking a paradigm shift in AI development. This survey systematically examines this…

Computation and Language · Computer Science 2025-08-28 Chenghan Yang , Ruiyu Zhao , Yang Liu , Ling Jiang

Large Language Models (LLMs) have demonstrated significant promise in automating software development tasks, yet their capabilities with respect to software design tasks remains largely unclear. This study investigates the capabilities of…

Software Engineering · Computer Science 2025-03-11 L. P. Franciscatto Guerra , N. Ernst
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