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Large language models (LLMs) have brought exciting new advances to mobile UI agents, a long-standing research field that aims to complete arbitrary natural language tasks through mobile UI interactions. However, existing UI agents usually…

Artificial Intelligence · Computer Science 2025-05-07 Hao Wen , Shizuo Tian , Borislav Pavlov , Wenjie Du , Yixuan Li , Ge Chang , Shanhui Zhao , Jiacheng Liu , Yunxin Liu , Ya-Qin Zhang , Yuanchun Li

Large Language Models (LLMs) represent a leap in artificial intelligence, excelling in tasks using human language(s). Although the main focus of general-purpose LLMs is not code generation, they have shown promising results in the domain.…

Software Engineering · Computer Science 2024-01-30 Sanka Rasnayaka , Guanlin Wang , Ridwan Shariffdeen , Ganesh Neelakanta Iyer

Autoregressive (AR) vision-language models (VLMs) have long dominated multimodal understanding, reasoning, and graphical user interface (GUI) grounding. Recently, discrete diffusion vision-language models (DVLMs) have shown strong…

Computer Vision and Pattern Recognition · Computer Science 2026-03-30 Shrinidhi Kumbhar , Haofu Liao , Srikar Appalaraju , Kunwar Yashraj Singh

When translating UI design prototypes to code in industry, automatically generating code from design prototypes can expedite the development of applications and GUI iterations. However, in design prototypes without strict design…

Software Engineering · Computer Science 2023-09-19 Liuqing Chen , Yunnong Chen , Shuhong Xiao , Yaxuan Song , Lingyun Sun , Yankun Zhen , Tingting Zhou , Yanfang Chang

Automated assessment of open-ended student responses is a critical capability for scaling personalized feedback in education. While large language models (LLMs) have shown promise in grading tasks via in-context learning (ICL), their…

Artificial Intelligence · Computer Science 2026-03-03 Yucheng Chu , Hang Li , Kaiqi Yang , Yasemin Copur-Gencturk , Kevin Haudek , Joseph Krajcik , Jiliang Tang

Large language models have enabled automated algorithm design (AAD) by generating optimization algorithms directly from natural-language prompts. While evolutionary frameworks such as LLaMEA demonstrate strong exploratory capabilities…

Artificial Intelligence · Computer Science 2026-01-30 Niki van Stein , Anna V. Kononova , Lars Kotthoff , Thomas Bäck

The screenplay serves as the foundation for television production, defining narrative structure, character development, and dialogue. While Large Language Models (LLMs) show great potential in creative writing, direct end-to-end generation…

Computation and Language · Computer Science 2026-01-08 Hang Lei , Shengyi Zong , Zhaoyan Li , Ziren Zhou , Hao Liu , Liang Yu

Building AI systems for GUI automation task has attracted remarkable research efforts, where MLLMs are leveraged for processing user requirements and give operations. However, GUI automation includes a wide range of tasks, from document…

Multiagent Systems · Computer Science 2025-12-11 Zishu Wei , Qixiang Ma , Xavier Hu , Yuhang Liu , Hui Zang , Yudong Zhao , Tao Wang , Shengyu Zhang , Fei Wu

Pharmaceutical three-dimensional (3D) printing is an advanced fabrication technology with the potential to enable truly personalised dosage forms. Recent studies have integrated artificial intelligence (AI) to accelerate formulation and…

Artificial Intelligence · Computer Science 2026-05-19 Adeshola Okubena , Yusuf Ali Mohammed , Moe Elbadawi

The growing popularity and widespread adoption of large language models (LLMs) necessitates the development of tools that enhance the effectiveness of user interactions with these models. Understanding the structures and functions of these…

Human-Computer Interaction · Computer Science 2025-03-03 Divya Perumal , Swaroop Panda

Large Language Models, particularly decoder-only generative models such as GPT, are increasingly used to automate Software Engineering tasks. These models are primarily guided through natural language prompts, making prompt engineering a…

Software Engineering · Computer Science 2026-01-06 Alexander Korn , Lea Zaruchas , Chetan Arora , Andreas Metzger , Sven Smolka , Fanyu Wang , Andreas Vogelsang

Despite being trained on vast amounts of data, most LLMs are unable to reliably generate well-designed UIs. Designer feedback is essential to improving performance on UI generation; however, we find that existing RLHF methods based on…

Human-Computer Interaction · Computer Science 2026-02-18 Jason Wu , Amanda Swearngin , Arun Krishna Vajjala , Alan Leung , Jeffrey Nichols , Titus Barik

Text logo design heavily relies on the creativity and expertise of professional designers, in which arranging element layouts is one of the most important procedures. However, this specific task has received limited attention, often…

Computer Vision and Pattern Recognition · Computer Science 2025-08-05 Junwen He , Yifan Wang , Lijun Wang , Huchuan Lu , Jun-Yan He , Chenyang Li , Hanyuan Chen , Jin-Peng Lan , Bin Luo , Yifeng Geng

Inspirational search, the process of exploring designs to inform and inspire new creative work, is pivotal in mobile user interface (UI) design. However, exploring the vast space of UI references remains a challenge. Existing AI-based UI…

Human-Computer Interaction · Computer Science 2025-02-18 Seokhyeon Park , Yumin Song , Soohyun Lee , Jaeyoung Kim , Jinwook Seo

Automating the synthesis of User Interfaces (UIs) plays a crucial role in enhancing productivity and accelerating the development lifecycle, reducing both development time and manual effort. Recently, the rapid development of Multimodal…

Software Engineering · Computer Science 2025-05-26 Yi Gui , Zhen Li , Zhongyi Zhang , Yao Wan , Dongping Chen , Hongyu Zhang , Yi Su , Bohua Chen , Xing Zhou , Wenbin Jiang , Xiangliang Zhang

Multimodal large language models (MLLMs) have streamlined front-end interface development by automating code generation. However, these models also introduce challenges in ensuring code quality. Existing approaches struggle to maintain both…

Software Engineering · Computer Science 2025-06-17 Yunnong Chen , Shixian Ding , YingYing Zhang , Wenkai Chen , Jinzhou Du , Lingyun Sun , Liuqing Chen

The continued success of Large Language Models (LLMs) and other generative artificial intelligence approaches highlights the advantages that large information corpora can have over rigidly defined symbolic models, but also serves as a…

In modern commercial systems, including Recommendation, Ranking, and E-Commerce platforms, there is a trend towards improving customer experiences by incorporating Personalization context as input into Large Language Models (LLMs). However,…

Computation and Language · Computer Science 2024-09-23 Jiarui Zhang

The rapid advancement of large language models (LLMs) and multimodal learning has transformed digital content creation and manipulation. Traditional visual editing tools require significant expertise, limiting accessibility. Recent strides…

Computer Vision and Pattern Recognition · Computer Science 2024-11-22 Thanh Tam Nguyen , Zhao Ren , Trinh Pham , Thanh Trung Huynh , Phi Le Nguyen , Hongzhi Yin , Quoc Viet Hung Nguyen

In the domain of model-based engineering, models are essential components that enable system design and analysis. Traditionally, the creation of these models has been a manual process requiring not only deep modeling expertise but also…

Software Engineering · Computer Science 2025-03-31 Fengjunjie Pan , Nenad Petrovic , Vahid Zolfaghari , Long Wen , Alois Knoll