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Successful application of large language models (LLMs) to robotic planning and execution may pave the way to automate numerous real-world tasks. Promising recent research has been conducted showing that the knowledge contained in LLMs can…

Robotics · Computer Science 2024-07-23 Ateeq Sharfuddin , Travis Breaux

Graph Interpolation Grammars are a declarative formalism with an operational semantics. Their goal is to emulate salient features of the human parser, and notably incrementality. The parsing process defined by GIGs incrementally builds a…

cmp-lg · Computer Science 2009-09-25 John Larcheveque

We present the concept of a unified graphical environment for expressing the semantics of control systems. The graphical control system design environment in Simulink already allows engineers to insert a variety of assertions aimed the…

Systems and Control · Computer Science 2011-08-23 Timothy Wang , Romain Jobredeaux , E. Feron

Data visualization is essential for interpreting complex datasets, yet traditional tools often require technical expertise, limiting accessibility. VizGen is an AI-assisted graph generation system that empowers users to create meaningful…

The term visual programming has started to be used in Informatics so far, however, there are different views on its meaning. The separation of visual programming from development tools of interfaces provides not only the certainty for this…

Computers and Society · Computer Science 2018-07-25 Vladyslav Velychko

While there exist approaches to integrate heterogeneous data using semantic models, such semantic models can typically not be used by existing software tools. Many software tools - especially in engineering - only have options to import and…

Databases · Computer Science 2022-11-07 Aljosha Köcher , Artan Markaj , Alexander Fay

We revisit a concept that has been central in some early stages of computer science, that of structured programming: a set of rules that an algorithm must follow in order to acquire a structure that is desirable in many aspects. While much…

Large language model (LLM) agents are increasingly capable of orchestrating complex tasks in low-code environments. However, these agents often exhibit hallucinations and logical inconsistencies because their inherent reasoning mechanisms…

Artificial Intelligence · Computer Science 2025-10-09 Jiexi Xu , Jiaqi Liu , Lanruo Wang , Su Liu

SimDialog is a visual editor for dialog in computer games. This paper presents the design of SimDialog, illustrating how script writers and non-programmers can easily create dialog for video games with complex branching structures and…

Human-Computer Interaction · Computer Science 2008-05-01 C. Owen , F. Biocca , C. Bohil , J. Conley

Large language models have evolved to process multiple modalities beyond text, such as images and audio, which motivates us to explore how to effectively leverage them for graph reasoning tasks. The key question, therefore, is how to…

Procedure planning requires a model to predict a sequence of actions that transform a start visual observation into a goal in instructional videos. While most existing methods rely primarily on visual observations as input, they often…

Computer Vision and Pattern Recognition · Computer Science 2026-03-11 Lei Shi , Victor Aregbede , Andreas Persson , Martin Längkvist , Amy Loutfi , Stephanie Lowry

Vision-language models have recently emerged as promising planners for autonomous driving, where success hinges on topology-aware reasoning over spatial structure and dynamic interactions from multimodal input. However, existing models are…

Computer Vision and Pattern Recognition · Computer Science 2026-03-16 Fabian Schmidt , Markus Enzweiler , Abhinav Valada

Architecture styles characterise families of architectures sharing common characteristics. We have recently proposed configuration logics for architecture style specification. In this paper, we study a graphical notation to enhance…

Software Engineering · Computer Science 2016-08-12 Anastasia Mavridou , Eduard Baranov , Simon Bliudze , Joseph Sifakis

Graph learning is naturally well suited for use in symbolic, object-centric planning due to its ability to exploit relational structures exhibited in planning domains and to take as input planning instances with arbitrary numbers of…

Artificial Intelligence · Computer Science 2025-01-08 Dillon Z. Chen , Sylvie Thiébaux

Creative coding is an experimentation-heavy activity that requires translating high-level visual ideas into code. However, most languages and libraries for creative coding may not be adequately intuitive for beginners. In this paper, we…

Programming Languages · Computer Science 2024-04-17 Mark Edward M. Gonzales , Hans Oswald A. Ibrahim , Elyssia Barrie H. Ong , Ryan Austin Fernandez

Visual grounding is the task of localising image regions from natural language queries and is critical for reasoning capable Graphical User Interface agents. Many existing methods rely on massive, noisy synthetic datasets. This work…

Artificial Intelligence · Computer Science 2025-11-17 Georgios Pantazopoulos , Eda B. Özyiğit

Many optimization problems can be naturally represented as (hyper) graphs, where vertices correspond to variables and edges to tasks, whose cost depends on the values of the adjacent variables. Capitalizing on the structure of the graph,…

Logic in Computer Science · Computer Science 2015-04-13 Nicklas Hoch , Ugo Montanari , Matteo Sammartino

The complexity of software-based systems has increased significantly, especially with regards to capturing requirements along with dependencies among requirements. A conceptual model is a way of thinking about and making sense of the real…

Software Engineering · Computer Science 2023-04-06 Sabah Al-Fedaghi

The UML allows us to specify models in a precise, complete and unambiguous manner. In particular, the UML addresses the specification of all important decisions regarding analysis, design and implementation. Although UML is not a visual…

Software Engineering · Computer Science 2010-01-26 S. S. Riaz Ahamed

We are interested in enabling visual planning for complex long-horizon tasks in the space of generated videos and language, leveraging recent advances in large generative models pretrained on Internet-scale data. To this end, we present…

Computer Vision and Pattern Recognition · Computer Science 2023-10-17 Yilun Du , Mengjiao Yang , Pete Florence , Fei Xia , Ayzaan Wahid , Brian Ichter , Pierre Sermanet , Tianhe Yu , Pieter Abbeel , Joshua B. Tenenbaum , Leslie Kaelbling , Andy Zeng , Jonathan Tompson
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