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Railroad diagrams (also called "syntax diagrams") are a common, intuitive visualization of grammars, but limited tooling and a lack of formal attention to their layout mostly confines them to hand-drawn documentation. We present the first…

Programming Languages · Computer Science 2025-09-22 Shardul Chiplunkar , Clément Pit-Claudel

Large Language Models (LLMs) are general-purpose tools with wide-ranging applications, including in materials science. In this work, we introduce aLLoyM, a fine-tuned LLM specifically trained on alloy compositions, temperatures, and their…

Materials Science · Physics 2026-04-30 Yuna Oikawa , Guillaume Deffrennes , Taichi Abe , Ryo Tamura , Koji Tsuda

Classical planning problems are typically defined using lifted first-order representations, which offer compactness and generality. While most planners ground these representations to simplify reasoning, this can cause an exponential blowup…

Artificial Intelligence · Computer Science 2026-03-23 João Filipe , Gregor Behnke

Layout-sensitive grammars have been adopted in many modern programming languages. However, tool support for this kind of grammars still remains limited and immature. In this paper, we present Lay-it-out, an interactive framework for…

Programming Languages · Computer Science 2022-03-31 Fengmin Zhu , Jiangyi Liu , Fei He

Computer Aided Design systems provide tools for building and manipulating models of solid objects. Some also provide access to programming languages so that parametrised designs can be expressed. There is a sharp distinction, therefore,…

Logic in Computer Science · Computer Science 2007-05-23 Omid Banyasad , Philip T. Cox

Graphs provide a universal framework for representing complex relational systems, and inferring their structural properties is a core challenge in graph analysis and reasoning. While large language models have recently demonstrated emerging…

Machine Learning · Computer Science 2025-12-16 Michal Podstawski

Text documents are complex high dimensional objects. To effectively visualize such data it is important to reduce its dimensionality and visualize the low dimensional embedding as a 2-D or 3-D scatter plot. In this paper we explore…

Computation and Language · Computer Science 2010-03-03 Yi Mao , Krishnakumar Balasubramanian , Guy Lebanon

Large language models (LLMs) are increasingly used to complete complex tasks by selecting and coordinating external tools across multiple steps. This requires aligning tool choices with subtask intent while satisfying directional execution…

Machine Learning · Computer Science 2026-05-13 Xinyi Gao , Xinyu Ren , Junliang Yu , Tong Chen , Quoc Viet Hung Nguyen , Hongzhi Yin

Declarative specifications have a vital role to play in developing safe and dependable software systems. Writing specifications correctly, however, remains particularly challenging. This paper presents a controlled experiment on using large…

Software Engineering · Computer Science 2025-07-22 Yang Hong , Shan Jiang , Yulei Fu , Sarfraz Khurshid

Often, the needs and visual abilities differ between the annotator group and the end user group. Generating detailed diagram descriptions for blind and low-vision (BLV) users is one such challenging domain. Sighted annotators could describe…

Artificial Intelligence · Computer Science 2025-03-18 Wan Ju Kang , Eunki Kim , Na Min An , Sangryul Kim , Haemin Choi , Ki Hoon Kwak , James Thorne

The recent development of Large Language Models (LLMs) with strong reasoning ability has driven research in various domains such as mathematics, coding, and scientific discovery. Meanwhile, 3D visual grounding, as a fundamental task in 3D…

Computer Vision and Pattern Recognition · Computer Science 2026-01-14 Hsiang-Wei Huang , Kuang-Ming Chen , Wenhao Chai , Cheng-Yen Yang , Jen-Hao Cheng , Jenq-Neng Hwang

Human reasoning relies on constructing and manipulating mental models -- simplified internal representations of situations used to understand and solve problems. Conceptual diagrams (e.g., a sketch drawn to aid reasoning) externalize these…

Artificial Intelligence · Computer Science 2025-09-30 Nasim Borazjanizadeh , Roei Herzig , Eduard Oks , Trevor Darrell , Rogerio Feris , Leonid Karlinsky

Drawing connections between interesting groupings of data and their real-world meaning is an important, yet difficult, part of encountering a new dataset. A lay reader might see an interesting visual pattern in a chart but lack the domain…

Human-Computer Interaction · Computer Science 2025-06-23 Jonathan Zong , Isabella Pedraza Pineros , Mengzhu Katie Chen , Daniel Hajas , Arvind Satyanarayan

Vision Language Models (VLMs) are impressive at visual question answering and image captioning. But they underperform on multi-step visual reasoning -- even compared to LLMs on the same tasks presented in text form -- giving rise to…

Computer Vision and Pattern Recognition · Computer Science 2025-06-03 Simon Park , Abhishek Panigrahi , Yun Cheng , Dingli Yu , Anirudh Goyal , Sanjeev Arora

Symbol grounding (Harnad, 1990) describes how symbols such as words acquire their meanings by connecting to real-world sensorimotor experiences. Recent work has shown preliminary evidence that grounding may emerge in (vision-)language…

Computation and Language · Computer Science 2025-10-17 Shuyu Wu , Ziqiao Ma , Xiaoxi Luo , Yidong Huang , Josue Torres-Fonseca , Freda Shi , Joyce Chai

Grounding natural language queries in graphical user interfaces (GUIs) poses unique challenges due to the diversity of visual elements, spatial clutter, and the ambiguity of language. In this paper, we introduce DiMo-GUI, a training-free…

Artificial Intelligence · Computer Science 2025-09-08 Hang Wu , Hongkai Chen , Yujun Cai , Chang Liu , Qingwen Ye , Ming-Hsuan Yang , Yiwei Wang

We propose a new technique for computational language representation called elementwise embedding, in which a material (semantic unit) is abstracted into a horizontal concatenation of lower-dimensional element (character) embeddings. While…

Computation and Language · Computer Science 2023-02-28 Dunam Kim , Jeeeun Kim

The aim of visualization is to support people in dealing with large and complex information structures, to make these structures more comprehensible, facilitate exploration, and enable knowledge discovery. However, users often have problems…

Human-Computer Interaction · Computer Science 2022-03-22 Christina Stoiber , Markus Wagner , Florian Grassinger , Margit Pohl , Holger Stitz , Marc Streit , Benjamin Potzmann , Wolfgang Aigner

Logistics operators, from battlefield coordinators re-routing airlifts ahead of a storm to warehouse managers juggling late trucks, need to make mission-critical decisions. Prevailing methods for logistics planning such as integer…

Artificial Intelligence · Computer Science 2026-02-02 Yunhao Yang , Neel P. Bhatt , Christian Ellis , Samuel Li , Alvaro Velasquez , Zhangyang Wang , Ufuk Topcu

Engineering drawings are fundamental to manufacturing communication, serving as the primary medium for conveying design intent, tolerances, and production details. However, interpreting complex multi-view drawings with dense annotations…

Computer Vision and Pattern Recognition · Computer Science 2026-01-26 Muhammad Tayyab Khan , Zane Yong , Lequn Chen , Wenhe Feng , Nicholas Yew Jin Tan , Seung Ki Moon