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Code generation agents powered by large language models (LLMs) are revolutionizing the software development paradigm. Distinct from previous code generation techniques, code generation agents are characterized by three core features. 1)…

Software Engineering · Computer Science 2025-10-01 Yihong Dong , Xue Jiang , Jiaru Qian , Tian Wang , Kechi Zhang , Zhi Jin , Ge Li

Code generation stands as a powerful technique in modern software development, improving development efficiency, reducing errors, and fostering standardization and consistency. Recently, ChatGPT has exhibited immense potential in automatic…

Software Engineering · Computer Science 2023-12-22 Youjia Li , Jianjun Shi , Zheng Zhang

While a lot of recent research focuses on enhancing the textual reasoning capabilities of Large Language Models (LLMs) by optimizing the multi-agent framework or reasoning chains, several benchmark tasks can be solved with 100\% success…

Computation and Language · Computer Science 2025-03-04 Yongchao Chen , Harsh Jhamtani , Srinagesh Sharma , Chuchu Fan , Chi Wang

Environment designers in the entertainment industry create imaginative 2D and 3D scenes for games, films, and television, requiring both fine-grained control of specific details and consistent global coherence. Designers have increasingly…

Human-Computer Interaction · Computer Science 2025-09-03 Wen-Fan Wang , Ting-Ying Lee , Chien-Ting Lu , Che-Wei Hsu , Nil Ponsa Campanyà , Yu Chen , Mike Y. Chen , Bing-Yu Chen

Webpages have been a rich, scalable resource for vision-language and language only tasks. Yet only pieces of webpages are kept in existing datasets: image-caption pairs, long text articles, or raw HTML, never all in one place. Webpage tasks…

Computation and Language · Computer Science 2023-10-23 Andrea Burns , Krishna Srinivasan , Joshua Ainslie , Geoff Brown , Bryan A. Plummer , Kate Saenko , Jianmo Ni , Mandy Guo

Although Multimodal Large Language Models (MLLMs) have been widely applied across domains, they are still facing challenges in domain-specific tasks, such as User Interface (UI) understanding accuracy and UI generation quality. In this…

Computer Vision and Pattern Recognition · Computer Science 2025-10-01 Hao Yang , Weijie Qiu , Ru Zhang , Zhou Fang , Ruichao Mao , Xiaoyu Lin , Maji Huang , Zhaosong Huang , Teng Guo , Shuoyang Liu , Hai Rao

It is common practice for developers of user-facing software to transform a mock-up of a graphical user interface (GUI) into code. This process takes place both at an application's inception and in an evolutionary context as GUI changes…

Software Engineering · Computer Science 2018-07-30 Kevin Moran , Carlos Bernal-Cárdenas , Michael Curcio , Richard Bonett , Denys Poshyvanyk

In this paper, we present DesignDiffusion, a simple yet effective framework for the novel task of synthesizing design images from textual descriptions. A primary challenge lies in generating accurate and style-consistent textual and visual…

Computer Vision and Pattern Recognition · Computer Science 2025-03-04 Zhendong Wang , Jianmin Bao , Shuyang Gu , Dong Chen , Wengang Zhou , Houqiang Li

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 design is a creative and innovative process that plays a crucial role in applications such as e-commerce and advertising. However, developing an automated design system that can faithfully translate user intentions into editable…

Computer Vision and Pattern Recognition · Computer Science 2026-03-27 Xincheng Shuai , Song Tang , Yutong Huang , Henghui Ding , Dacheng Tao

Image-to-code generation tests whether a vision-language model (VLM) can recover the structure of an image enough to express it as executable code. Existing benchmarks either focus on narrow visual domains, depend on paired executable…

Computer Vision and Pattern Recognition · Computer Science 2026-05-13 Ajay Vikram Periasami , Junlin Wang , Bhuwan Dhingra

Automated model-based test generation presents a viable alternative to the costly manual test creation currently employed for regression testing of web apps. However, existing model inference techniques rely on threshold-based whole-page…

Software Engineering · Computer Science 2022-05-09 Rahulkrishna Yandrapally , Ali Mesbah

DevBench is a telemetry-driven benchmark designed to evaluate Large Language Models (LLMs) on realistic code completion tasks. It includes 1,800 evaluation instances across six programming languages and six task categories derived from real…

Machine Learning · Computer Science 2026-05-19 Adarsh Kumarappan , Pareesa Ameneh Golnari , Wen Wen , Xiaoyu Liu , Gabriel Ryan , Yuting Sun , Shengyu Fu , Elsie Nallipogu

Recent deep image-to-image translation techniques allow fast generation of face images from freehand sketches. However, existing solutions tend to overfit to sketches, thus requiring professional sketches or even edge maps as input. To…

Graphics · Computer Science 2020-06-09 Shu-Yu Chen , Wanchao Su , Lin Gao , Shihong Xia , Hongbo Fu

How humans can effectively and efficiently acquire images has always been a perennial question. A classic solution is text-to-image retrieval from an existing database; however, the limited database typically lacks creativity. By contrast,…

Computer Vision and Pattern Recognition · Computer Science 2025-03-26 Leigang Qu , Haochuan Li , Tan Wang , Wenjie Wang , Yongqi Li , Liqiang Nie , Tat-Seng Chua

Large Language Models (LLMs) have garnered remarkable advancements across diverse code-related tasks, known as Code LLMs, particularly in code generation that generates source code with LLM from natural language descriptions. This…

Computation and Language · Computer Science 2025-10-28 Juyong Jiang , Fan Wang , Jiasi Shen , Sungju Kim , Sunghun Kim

Layout generation aims to synthesize realistic graphic scenes consisting of elements with different attributes including category, size, position, and between-element relation. It is a crucial task for reducing the burden on heavy-duty…

Computer Vision and Pattern Recognition · Computer Science 2023-03-10 Mude Hui , Zhizheng Zhang , Xiaoyi Zhang , Wenxuan Xie , Yuwang Wang , Yan Lu

Text-to-image (T2I) generation has made remarkable progress in producing high-quality images, but a fundamental challenge remains: creating backgrounds that naturally accommodate text placement without compromising image quality. This…

Computer Vision and Pattern Recognition · Computer Science 2025-05-14 Tianyi Liang , Jiangqi Liu , Yifei Huang , Shiqi Jiang , Jianshen Shi , Changbo Wang , Chenhui Li

Color is a critical design factor for web pages, affecting important factors such as viewer emotions and the overall trust and satisfaction of a website. Effective coloring requires design knowledge and expertise, but if this process could…

Computer Vision and Pattern Recognition · Computer Science 2023-01-24 Kotaro Kikuchi , Naoto Inoue , Mayu Otani , Edgar Simo-Serra , Kota Yamaguchi

Deep learning-based code generation has completely transformed the way developers write programs today. Existing approaches to code generation have focused either on the Sequence-to-Sequence paradigm, which generates target code as a…

Computation and Language · Computer Science 2025-02-27 Liangying Shao , Yanfu Yan , Denys Poshyvanyk , Jinsong Su