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The rapid advancement of Large Language Models (LLMs) is reshaping software engineering by profoundly influencing coding, documentation, and system maintenance practices. As these tools become deeply embedded in developers' daily workflows,…

Software Engineering · Computer Science 2025-12-29 Vítor Mateus de Brito , Kleinner Farias

Large Language Models (LLMs) have shown increasing potential in automating model-driven software engineering tasks, particularly in generating models conforming to Domain Specific Languages (DSLs) from natural language. While most existing…

Software Engineering · Computer Science 2026-05-18 Junaid Baber , Nicolas Hili , Didier Schwab , Léo Challier , Cécilia Satrin

The advent of large language models (LLMs) revolutionized natural language processing applications, and running LLMs on edge devices has become increasingly attractive for reasons including reduced latency, data localization, and…

Computation and Language · Computer Science 2024-09-17 Jiajun Xu , Zhiyuan Li , Wei Chen , Qun Wang , Xin Gao , Qi Cai , Ziyuan Ling

Recent generative models have achieved remarkable progress in image editing. However, existing systems and benchmarks remain largely text-guided. In contrast, human communication is inherently multimodal, where visual instructions such as…

Computer Vision and Pattern Recognition · Computer Science 2026-05-22 Huanyu Zhang , Xuehai Bai , Chengzu Li , Chen Liang , Haochen Tian , Haodong Li , Ruichuan An , Yifan Zhang , Anna Korhonen , Zhang Zhang , Liang Wang , Tieniu Tan

Protein design aims to compose amino-acid sequences that fold into stable three-dimensional structures while satisfying targeted functional properties. The field is increasingly shifting toward vibe protein design, where a single model is…

Building custom data analysis platforms traditionally requires extensive software engineering expertise, limiting accessibility for many researchers. Here, I demonstrate that modern large language models (LLMs) and autonomous coding agents…

Other Quantitative Biology · Quantitative Biology 2025-10-14 Jesse G. Meyer

Large Language Models (LLMs) have emerged as coding assistants, capable of generating source code from natural language prompts. With the increasing adoption of LLMs in software development, academic research and industry based projects are…

With the advent of Vision-Language Models (VLMs), medical artificial intelligence (AI) has experienced significant technological progress and paradigm shifts. This survey provides an extensive review of recent advancements in Medical…

Computer Vision and Pattern Recognition · Computer Science 2025-03-05 Beria Chingnabe Kalpelbe , Angel Gabriel Adaambiik , Wei Peng

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…

Computation and Language · Computer Science 2024-05-24 Yanxin Zheng , Wensheng Gan , Zefeng Chen , Zhenlian Qi , Qian Liang , Philip S. Yu

Modern-day Integrated Development Environments (IDEs) have come a long way from the early text editing utilities to the complex programs encompassing thousands of functions to help developers. However, with the increasing number of…

Software Engineering · Computer Science 2024-02-20 Yaroslav Zharov , Yury Khudyakov , Evgeniia Fedotova , Evgeny Grigorenko , Egor Bogomolov

Urban computing has emerged as a multidisciplinary field that harnesses data-driven technologies to address challenges and improve urban living. Traditional approaches, while beneficial, often face challenges with generalization,…

Computers and Society · Computer Science 2025-11-11 Zhonghang Li , Lianghao Xia , Xubin Ren , Jiabin Tang , Tianyi Chen , Yong Xu , Chao Huang

With the rapid development of large language models (LLMs), which possess powerful natural language processing and generation capabilities, LLMs are poised to provide more natural and personalized user experiences. Their deployment on…

Artificial Intelligence · Computer Science 2026-03-03 Lianjun Liu , Hongli An , Pengxuan Chen , Longxiang Ye

Digital twin technology is a transformative innovation driving the digital transformation and intelligent optimization of manufacturing systems. By integrating real-time data with computational models, digital twins enable continuous…

Emerging Technologies · Computer Science 2025-03-05 Linyao Yang , Shi Luo , Xi Cheng , Lei Yu

Driven by the wave of large language models, Video-Language Models (VLMs) have become a significant yet challenging technology to bridge the gap between videos and texts. Although previous VLM works have made significant progress, almost…

Computer Vision and Pattern Recognition · Computer Science 2026-05-28 Xiang Fang , Wanlong Fang , Changshuo Wang , Xiaoye Qu , Daizong Liu

Multimodal Large Models (MLMs) are becoming a significant research focus, combining powerful large language models with multimodal learning to perform complex tasks across different data modalities. This review explores the latest…

Machine Learning · Computer Science 2024-07-02 Xinji Mai , Zeng Tao , Junxiong Lin , Haoran Wang , Yang Chang , Yanlan Kang , Yan Wang , Wenqiang Zhang

Language models (LMs) built upon deep neural networks (DNNs) have recently demonstrated breakthrough effectiveness in software engineering tasks such as code generation, completion, and repair. This has paved the way for the emergence of…

Software Engineering · Computer Science 2025-01-06 Jingzhi Gong , Vardan Voskanyan , Paul Brookes , Fan Wu , Wei Jie , Jie Xu , Rafail Giavrimis , Mike Basios , Leslie Kanthan , Zheng Wang

Connecting text and visual modalities plays an essential role in generative intelligence. For this reason, inspired by the success of large language models, significant research efforts are being devoted to the development of Multimodal…

Computer Vision and Pattern Recognition · Computer Science 2024-06-07 Davide Caffagni , Federico Cocchi , Luca Barsellotti , Nicholas Moratelli , Sara Sarto , Lorenzo Baraldi , Lorenzo Baraldi , Marcella Cornia , Rita Cucchiara

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

Recent advancements in large language models (LLMs) have significantly enhanced their coding capabilities. However, existing benchmarks predominantly focused on simplified or isolated aspects of coding, such as single-file code generation…

Computation and Language · Computer Science 2024-12-17 Bowen Li , Wenhan Wu , Ziwei Tang , Lin Shi , John Yang , Jinyang Li , Shunyu Yao , Chen Qian , Binyuan Hui , Qicheng Zhang , Zhiyin Yu , He Du , Ping Yang , Dahua Lin , Chao Peng , Kai Chen

Large Language Models (LLMs) are becoming ubiquitous to create intelligent virtual assistants that assist users in interacting with a system, as exemplified in marketing. Although LLMs have been discussed in Modeling & Simulation (M&S), the…

Human-Computer Interaction · Computer Science 2024-09-25 Philippe J. Giabbanelli , Jose J. Padilla , Ameeta Agrawal