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Related papers: A Review on Large Language Models for Visual Analy…

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We explore the integration of large language models (LLMs) into visual analytics (VA) systems to transform their capabilities through intuitive natural language interactions. We survey current research directions in this emerging field,…

Human-Computer Interaction · Computer Science 2025-07-01 Maeve Hutchinson , Radu Jianu , Aidan Slingsby , Pranava Madhyastha

Visual analytics supports data analysis tasks within complex domain problems. However, due to the richness of data types, visual designs, and interaction designs, users need to recall and process a significant amount of information when…

Human-Computer Interaction · Computer Science 2024-03-12 Yuheng Zhao , Yixing Zhang , Yu Zhang , Xinyi Zhao , Junjie Wang , Zekai Shao , Cagatay Turkay , Siming Chen

Connecting text and visual modalities plays an essential role in generative intelligence. For this reason, inspired by the success of large language models, significant research efforts are being devoted to the development of Multimodal…

Computer Vision and Pattern Recognition · Computer Science 2024-06-07 Davide Caffagni , Federico Cocchi , Luca Barsellotti , Nicholas Moratelli , Sara Sarto , Lorenzo Baraldi , Lorenzo Baraldi , Marcella Cornia , Rita Cucchiara

We report on a systematic, PRISMA-guided survey of research at the intersection of LLMs and visualization, with a particular focus on visio-verbal interaction -- where verbal and visual modalities converge to support data sense-making. The…

Human-Computer Interaction · Computer Science 2026-02-04 Mathis Brossier , Tobias Isenberg , Konrad Schönborn , Jonas Unger , Mario Romero , Johanna Björklund , Anders Ynnerman , Lonni Besançon

This survey and application guide to multimodal large language models(MLLMs) explores the rapidly developing field of MLLMs, examining their architectures, applications, and impact on AI and Generative Models. Starting with foundational…

Artificial Intelligence · Computer Science 2025-12-02 Chia Xin Liang , Pu Tian , Caitlyn Heqi Yin , Yao Yua , Wei An-Hou , Li Ming , Xinyuan Song , Tianyang Wang , Ziqian Bi , Ming Liu

The advent of Large Language Models (LLMs) has significantly reshaped the trajectory of the AI revolution. Nevertheless, these LLMs exhibit a notable limitation, as they are primarily adept at processing textual information. To address this…

Computer Vision and Pattern Recognition · Computer Science 2025-10-15 Akash Ghosh , Arkadeep Acharya , Sriparna Saha , Vinija Jain , Aman Chadha

Multimodal large language models (MLLMs) enhance the capabilities of standard large language models by integrating and processing data from multiple modalities, including text, vision, audio, video, and 3D environments. Data plays a pivotal…

Artificial Intelligence · Computer Science 2024-07-19 Tianyi Bai , Hao Liang , Binwang Wan , Yanran Xu , Xi Li , Shiyu Li , Ling Yang , Bozhou Li , Yifan Wang , Bin Cui , Ping Huang , Jiulong Shan , Conghui He , Binhang Yuan , Wentao Zhang

Usability evaluation is an essential method to support the design of effective and intuitive user interfaces (UIs). However, it commonly relies on resource-intensive, expert-driven methods, which limit its accessibility, especially for…

Software Engineering · Computer Science 2026-04-13 Sebastian Lubos , Alexander Felfernig , Damian Garber , Gerhard Leitner , Julian Schwazer , Manuel Henrich

Recently, large language models (LLMs) have taken the spotlight in natural language processing. Further, integrating LLMs with vision enables the users to explore emergent abilities with multimodal data. Visual language models (VLMs), such…

Computer Vision and Pattern Recognition · Computer Science 2024-02-23 Minh-Hao Van , Prateek Verma , Xintao Wu

Visual-language models (VLM) have emerged as a powerful tool for learning a unified embedding space for vision and language. Inspired by large language models, which have demonstrated strong reasoning and multi-task capabilities, visual…

Computer Vision and Pattern Recognition · Computer Science 2025-01-07 Yifan Li , Zhixin Lai , Wentao Bao , Zhen Tan , Anh Dao , Kewei Sui , Jiayi Shen , Dong Liu , Huan Liu , Yu Kong

Natural language is a powerful complementary modality of communication for data visualizations, such as bar and line charts. To facilitate chart-based reasoning using natural language, various downstream tasks have been introduced recently…

Computation and Language · Computer Science 2024-10-07 Mohammed Saidul Islam , Raian Rahman , Ahmed Masry , Md Tahmid Rahman Laskar , Mir Tafseer Nayeem , Enamul Hoque

The rapid development of Artificial Intelligence (AI) has revolutionized numerous fields, with large language models (LLMs) and computer vision (CV) systems driving advancements in natural language understanding and visual processing,…

Computation and Language · Computer Science 2024-12-04 Yunkai Dang , Kaichen Huang , Jiahao Huo , Yibo Yan , Sirui Huang , Dongrui Liu , Mengxi Gao , Jie Zhang , Chen Qian , Kun Wang , Yong Liu , Jing Shao , Hui Xiong , Xuming Hu

Large Language Models (LLMs) represent a class of deep learning models adept at understanding natural language and generating coherent responses to various prompts or queries. These models far exceed the complexity of conventional neural…

Machine Learning · Computer Science 2024-12-05 Minghao Shao , Abdul Basit , Ramesh Karri , Muhammad Shafique

Large Language Models (LLMs) have seen significant use in domains such as natural language processing and computer vision. Going beyond text, image and graphics, LLMs present a significant potential for analysis of time series data,…

Machine Learning · Computer Science 2024-05-08 Xiyuan Zhang , Ranak Roy Chowdhury , Rajesh K. Gupta , Jingbo Shang

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

Recent advancements in dialogue systems have highlighted the significance of integrating multimodal responses, which enable conveying ideas through diverse modalities rather than solely relying on text-based interactions. This enrichment…

Computation and Language · Computer Science 2024-07-08 Chang-Sheng Kao , Yun-Nung Chen

Large Language Models (LLMs) have exploded a new heatwave of AI for their ability to engage end-users in human-level conversations with detailed and articulate answers across many knowledge domains. In response to their fast adoption in…

Large Language Models(LLMs)have become effective tools for natural language processing and have been used in many different fields. This essay offers a succinct summary of various LLM subcategories. The survey emphasizes recent developments…

Computation and Language · Computer Science 2023-07-21 Saurabh Pahune , Manoj Chandrasekharan

In an era defined by the explosive growth of data and rapid technological advancements, Multimodal Large Language Models (MLLMs) stand at the forefront of artificial intelligence (AI) systems. Designed to seamlessly integrate diverse data…

A Language Model is a term that encompasses various types of models designed to understand and generate human communication. Large Language Models (LLMs) have gained significant attention due to their ability to process text with human-like…

Computation and Language · Computer Science 2024-06-12 Sylvio Barbon Junior , Paolo Ceravolo , Sven Groppe , Mustafa Jarrar , Samira Maghool , Florence Sèdes , Soror Sahri , Maurice Van Keulen
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