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Large language models are increasingly applied to operational decision-making where the underlying structure is constrained optimization. Existing benchmarks evaluate whether LLMs can formulate optimization problems as solver code, but…

Artificial Intelligence · Computer Science 2026-03-02 Joseph Tso , Preston Schmittou , Quan Huynh , Jibran Hutchins

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

This paper presents MagicGUI, a foundational mobile GUI agent designed to address critical challenges in perception, grounding, and reasoning within real-world mobile GUI environments. The framework is underpinned by following six key…

Deploying large language model-based code generation in real-world client-side development remains challenging due to heterogeneous inputs, strict engineering constraints, and complex interaction logic expressed in product requirement…

Software Engineering · Computer Science 2026-03-03 Ruihan Wang , Chencheng Guo , Guangjing Wang

This paper presents lpviz, a browser-based visualization tool for linear programming. lpviz is deeply interactive, offering an intuitive interface where users can directly draw and edit the feasible region and objective vector, without…

Human-Computer Interaction · Computer Science 2026-05-01 Evan Grand , Michael Klamkin

Programs with constraints are hard to debug. In this paper, we describe a general architecture to help develop new debugging tools for constraint programming. The possible tools are fed by a single general-purpose tracer. A tracer-driver is…

Software Engineering · Computer Science 2007-05-23 Ludovic Langevine , Mireille Ducasse

We propose a unified Implicit Dialog framework for goal-oriented, information seeking tasks of Conversational Search applications. It aims to enable dialog interactions with domain data without replying on explicitly encoded the rules but…

Computation and Language · Computer Science 2018-02-14 Song Feng , R. Chulaka Gunasekara , Sunil Shashidhara , Kshitij P. Fadnis , Lazaros C. Polymenakos

Recent advances in Multimodal Large Language Models (MLLMs) have enabled autonomous agents to interact with computers via Graphical User Interfaces (GUIs), where accurately localizing the coordinates of interface elements (e.g., buttons) is…

Machine Learning · Computer Science 2025-05-27 Hyunseok Lee , Jeonghoon Kim , Beomjun Kim , Jihoon Tack , Chansong Jo , Jaehong Lee , Cheonbok Park , Sookyo In , Jinwoo Shin , Kang Min Yoo

Advances in large language models (LLMs) and real-time speech recognition now make it possible to issue any graphical user interface (GUI) action through natural language and receive the corresponding system response directly through the…

Human-Computer Interaction · Computer Science 2025-10-10 Hans G. W. van Dam

Visibility Graph (VG) transforms time series into graphs, facilitating signal processing by advanced graph data mining algorithms. In this paper, based on the classic Limited Penetrable Visibility Graph (LPVG) method, we propose a novel…

Machine Learning · Computer Science 2022-02-16 Qi Xuan , Jinchao Zhou , Kunfeng Qiu , Dongwei Xu , Shilian Zheng , Xiaoniu Yang

Grassroots platforms are distributed systems with multiple instances that can (1) operate independently of each other and of any global resource other than the network, and (2) coalesce into ever larger instances, possibly resulting in a…

Programming Languages · Computer Science 2026-02-10 Ehud Shapiro

Concolic testing is a popular software verification technique based on a combination of concrete and symbolic execution. Its main focus is finding bugs and generating test cases with the aim of maximizing code coverage. A previous approach…

Logic in Computer Science · Computer Science 2020-09-23 Fred Mesnard , Etienne Payet , German Vidal

Generative Programming (GP) is a computing paradigm allowing automatic creation of entire software families utilizing the configuration of elementary and reusable components. GP can be projected on different technologies, e.g.…

Human-Computer Interaction · Computer Science 2007-05-23 Max Schlee , Jean Vanderdonckt

Requirements Elicitation (RE) is a crucial activity especially in the early stages of software development. GUI prototyping has widely been adopted as one of the most effective RE techniques for user-facing software systems. However, GUI…

Software Engineering · Computer Science 2024-09-26 Kristian Kolthoff , Christian Bartelt , Simone Paolo Ponzetto , Kurt Schneider

The paper proposes a theoretical approach of the debugging of constraint programs based on a notion of explanation tree. The proposed approach is an attempt to adapt algorithmic debugging to constraint programming. In this theoretical…

Software Engineering · Computer Science 2007-05-23 Gerard Ferrand , Willy Lesaint , Alexandre Tessier

The rapid development of large language models (LLMs), such as ChatGPT, has revolutionized the efficiency of creating programming tutorials. LLMs can be instructed with text prompts to generate comprehensive text descriptions of code…

Human-Computer Interaction · Computer Science 2024-10-29 Yihan Liu , Zhen Wen , Luoxuan Weng , Ollie Woodman , Yi Yang , Wei Chen

Graphical User Interface (GUI) Agents, benefiting from recent advances in multimodal large language models (MLLM), have achieved significant development. However, due to the frequent updates of GUI applications, adapting to new tasks…

Machine Learning · Computer Science 2026-03-10 Zhenquan Yao , Zitong Huang , Yihan Zeng , Jianhua Han , Hang Xu , Chun-Mei Feng , Jianwei Ma , Wangmeng Zuo

Graphical User Interface (GUI) agents, powered by Large Foundation Models, have emerged as a transformative approach to automating human-computer interaction. These agents autonomously interact with digital systems or software applications…

LLMs have demonstrated commendable performance across diverse domains. Nevertheless, formulating high-quality prompts to instruct LLMs proficiently poses a challenge for non-AI experts. Existing research in prompt engineering suggests…

Constraint programming is used for a variety of real-world optimisation problems, such as planning, scheduling and resource allocation problems. At the same time, one continuously gathers vast amounts of data about these problems. Current…

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