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Large language models (LLMs) are remarkably good at writing code. A particularly valuable case of human-LLM collaboration is code-based UI prototyping, a method for creating interactive prototypes that allows users to view and fully engage…

Human-Computer Interaction · Computer Science 2024-07-12 Jenny Ma , Karthik Sreedhar , Vivian Liu , Sitong Wang , Pedro Alejandro Perez , Lydia B. Chilton

Code generation is to automatically generate source code conforming to a given programming specification, which has received extensive attention especially with the development of large language models (LLMs). Due to the inherent difficulty…

Software Engineering · Computer Science 2024-12-20 Zhao Tian , Junjie Chen , Xiangyu Zhang

Utilizing Graphic User Interface (GUI) for human-computer interaction is essential for accessing a wide range of digital tools. Recent advancements in Vision Language Models (VLMs) highlight the compelling potential to develop versatile…

Artificial Intelligence · Computer Science 2025-06-02 Wentong Chen , Junbo Cui , Jinyi Hu , Yujia Qin , Junjie Fang , Yue Zhao , Chongyi Wang , Jun Liu , Guirong Chen , Yupeng Huo , Yuan Yao , Yankai Lin , Zhiyuan Liu , Maosong Sun

While large language models (LLMs) have been widely applied to code generation, they struggle with generating entire deep learning projects, which are characterized by complex structures, longer functions, and stronger reliance on domain…

Software Engineering · Computer Science 2025-04-22 Chen Xie , Mingsheng Jiao , Xiaodong Gu , Beijun Shen

Large Language Models (LLMs) excel in various natural language processing tasks, but leveraging them for dense passage embedding remains challenging. This is due to their causal attention mechanism and the misalignment between their…

Computation and Language · Computer Science 2024-08-08 Hieu Man , Nghia Trung Ngo , Franck Dernoncourt , Thien Huu Nguyen

We present MeshLLM, a novel framework that leverages large language models (LLMs) to understand and generate text-serialized 3D meshes. Our approach addresses key limitations in existing methods, including the limited dataset scale when…

Graphical User Interface (GUI) Agents, powered by multimodal large language models (MLLMs), have shown great potential for task automation on computing devices such as computers and mobile phones. However, existing agents face challenges in…

Artificial Intelligence · Computer Science 2025-01-09 Yuhang Liu , Pengxiang Li , Zishu Wei , Congkai Xie , Xueyu Hu , Xinchen Xu , Shengyu Zhang , Xiaotian Han , Hongxia Yang , Fei Wu

Converting user interfaces into code (UI2Code) is a crucial step in website development, which is time-consuming and labor-intensive. The automation of UI2Code is essential to streamline this task, beneficial for improving the development…

Software Engineering · Computer Science 2025-06-13 Fan Wu , Cuiyun Gao , Shuqing Li , Xin-Cheng Wen , Qing Liao

Generative models have received a lot of attention in many areas of academia and the industry. Their capabilities span many areas, from the invention of images given a prompt to the generation of concrete code to solve a certain programming…

Human-Computer Interaction · Computer Science 2024-03-12 Pere-Pau Vázquez

Graphical User Interface (or simply UI) is a primary mean of interaction between users and their devices. In this paper, we discuss three complementary Artificial Intelligence (AI) approaches for triggering the creativity of app designers…

Human-Computer Interaction · Computer Science 2025-01-29 Jialiang Wei , Anne-Lise Courbis , Thomas Lambolais , Gérard Dray , Walid Maalej

Recent advances in Multimodal Large Language Models (MLLMs) have enabled automated generation of structured layouts from natural language descriptions. Existing methods typically follow a code-only paradigm that generates code to represent…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 Junrong Guo , Shancheng Fang , Yadong Qu , Hongtao Xie

Large Language Models (LLMs) have demonstrated great promise in generating code, especially when used inside an evolutionary computation framework to iteratively optimize the generated algorithms. However, in some cases they fail to…

Neural and Evolutionary Computing · Computer Science 2025-03-24 Niki van Stein , Anna V. Kononova , Lars Kotthoff , Thomas Bäck

In this work, we explore explicit Large Language Model (LLM)-powered support for the iterative design of computer programs. Program design, like other design activity, is characterized by navigating a space of alternative problem…

Human-Computer Interaction · Computer Science 2025-03-11 J. D. Zamfirescu-Pereira , Eunice Jun , Michael Terry , Qian Yang , Björn Hartmann

Instruction-following has emerged as a crucial capability for large language models (LLMs). However, existing approaches often rely on pre-existing documents or external resources to synthesize instruction-following data, which limits their…

Computation and Language · Computer Science 2025-06-12 Tingfeng Hui , Pengyu Zhu , Bowen Ping , Ling Tang , Guanting Dong , Yaqi Zhang , Sen Su

Recent prevailing works on graph machine learning typically follow a similar methodology that involves designing advanced variants of graph neural networks (GNNs) to maintain the superior performance of GNNs on different graphs. In this…

Machine Learning · Computer Science 2024-06-07 Yiran Qiao , Xiang Ao , Yang Liu , Jiarong Xu , Xiaoqian Sun , Qing He

Large Language Models (LLMs) are rapidly transforming software engineering, with coding assistants embedded in an IDE becoming increasingly prevalent. While research has focused on improving the tools and understanding developer…

Domain modeling, a crucial part of model-driven engineering, demands extensive domain knowledge and experience from engineers. When the system description is highly complicated, the modeling task can become particularly challenging and…

Software Engineering · Computer Science 2024-10-15 Ru Chen , Jingwei Shen , Xiao He

With the rapid development of web technology, more and more software applications have become web-based in the past decades. To ensure software quality and user experience, various techniques have been proposed to automatically test web…

Software Engineering · Computer Science 2024-10-17 Siyi Wang , Sinan Wang , Yujia Fan , Xiaolei Li , Yepang Liu

Graphic layout generation, a growing research field, plays a significant role in user engagement and information perception. Existing methods primarily treat layout generation as a numerical optimization task, focusing on quantitative…

Computer Vision and Pattern Recognition · Computer Science 2023-09-20 Zecheng Tang , Chenfei Wu , Juntao Li , Nan Duan

Graphical User Interface (GUI) grounding plays a crucial role in enhancing the capabilities of Vision-Language Model (VLM) agents. While general VLMs, such as GPT-4V, demonstrate strong performance across various tasks, their proficiency in…

Computer Vision and Pattern Recognition · Computer Science 2025-09-12 Anthony Nguyen