Can Multimodal Large Language Models Grade Like an Expert? A Study on UML Class Diagram Assessment Accuracy
Sign Up to like & getrecommendations! Published in 2025 at "Computer Applications in Engineering Education"
DOI: 10.1002/cae.70080
Abstract: This study investigates the potential of Multimodal Large Language Models to evaluate the quality of Unified Modelling Language (UML) class diagrams, with a focus on their ability to assess class structures and attribute information in… read more here.
Keywords: large language; uml class; language; multimodal large ... See more keywords
Efficient GPT-4V level multimodal large language model for deployment on edge devices
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DOI: 10.1038/s41467-025-61040-5
Abstract: Multimodal large language models have revolutionized AI research and industry, paving the way toward the next milestone. However, their large sizes and high computational costs restrict deployment to cloud servers, limiting use in mobile, offline,… read more here.
Keywords: large language; edge devices; language; model ... See more keywords
Multimodal large language models and physics visual tasks: comparative analysis of performance and costs
Sign Up to like & getrecommendations! Published in 2025 at "European Journal of Physics"
DOI: 10.1088/1361-6404/ae03f8
Abstract: Multimodal large language models (MLLMs) capable of processing both text and visual inputs are increasingly being explored for uses in physics education, such as tutoring, formative assessment, and grading. This study evaluates a range of… read more here.
Keywords: large language; performance; language; multimodal large ... See more keywords
Prompt Driven Multimodal Large Language Models for Concrete Defect Identification
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DOI: 10.1109/access.2025.3605263
Abstract: Detecting surface defects in concrete structures is essential for ensuring structural safety; however, traditional methods have limitations, including subjectivity and heavy data dependency. This study proposes using pretrained multimodal large and small language models (LLM/SLM),… read more here.
Keywords: shot; concrete defect; language; multimodal large ... See more keywords
BioMedGPT: An Open Multimodal Large Language Model for BioMedicine.
Sign Up to like & getrecommendations! Published in 2024 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2024.3505955
Abstract: Recent advances in large language models (LLMs) like ChatGPT have shed light on the development of knowledgeable and versatile AI research assistants in various scientific domains. However, they fall short in biomedical applications due to… read more here.
Keywords: large language; language model; biomedgpt open; language ... See more keywords
Empowering Corner Case Detection in Autonomous Vehicles With Multimodal Large Language Models
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DOI: 10.1109/lsp.2024.3495557
Abstract: Object detection powered by deep learning is an essential component in the realm of self-driving vehicles. However, the model may be affected by corner cases, which are rare or unusual objects and scenarios, and can… read more here.
Keywords: detection; large language; language; corner case ... See more keywords
Multimodal Large Language Models in Human-Centered Health: Practical Insights
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Pervasive Computing"
DOI: 10.1109/mprv.2024.3499513
Abstract: Multimodal data offer a comprehensive view of human health by integrating diverse sources, such as text, medical images, physiological signals, and behavioral data. Recent advancements in large language models (LLMs) have led to the development… read more here.
Keywords: human centered; large language; language; multimodal large ... See more keywords
How to Bridge the Gap Between Modalities: Survey on Multimodal Large Language Model
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2025.3527978
Abstract: We explore Multimodal Large Language Models (MLLMs), which integrate LLMs like GPT-4 to handle multimodal data, including text, images, audio, and more. MLLMs demonstrate capabilities such as generating image captions and answering image-based questions, bridging… read more here.
Keywords: large language; multimodal large; language; modality alignment ... See more keywords
Multimodal Large Models are Effective Action Anticipators
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DOI: 10.1109/tmm.2025.3557615
Abstract: The task of long-term action anticipation demands solutions that can effectively model temporal dynamics over extended periods while deeply understanding the inherent semantics of actions. Traditional approaches, which primarily rely on recurrent units or Transformer… read more here.
Keywords: large models; long term; action anticipation; models effective ... See more keywords
Challenges and Limitations of Multimodal Large Language Models in Interpreting Pediatric Panoramic Radiographs.
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DOI: 10.1111/ipd.70029
Abstract: ABSTRACT Background Multimodal large language models (LLMs) have potential for medical image analysis, yet their reliability for pediatric panoramic radiographs remains uncertain. Aim This study evaluated two multimodal LLMs (OpenAI o1, Claude 3.5 Sonnet) for… read more here.
Keywords: large language; panoramic radiographs; language; pediatric panoramic ... See more keywords
Domain-graph enhanced multi-task multimodal large models for urban planning
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DOI: 10.1177/1420326x251368756
Abstract: Although some intelligent large-scale models have been proposed recently, due to the diversity and complexity of urban planning tasks, there are still no domain-specific large-scale models tailored to urban planning that support varied tasks. To… read more here.
Keywords: knowledge; urban planning; domain graph; multimodal large ... See more keywords