Benchmarking multimodal large language models for medicinal plant identification [PDF]
Frontiers in Plant ScienceWith the rapid advancement of artificial intelligence technology, large language models (LLMs) have shown considerable potential in the medical field.
Yue Jiang +8 more
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Multimodal large language models challenge NEJM image challenge [PDF]
Scientific ReportsCurrent evaluations of Large Language Models (LLMs) in medicine primarily focus on text-based benchmarks, leaving their multimodal diagnostic capabilities in complex, real-world clinical scenarios largely undefined. Furthermore, comparisons against large-
Chiyu Sheng +6 more
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Large-scale evaluation of multimodal large language models for pneumothorax detection [PDF]
Diagnostic and Interventional RadiologyPURPOSE: Pneumothorax requires rapid recognition and accurate interpretation of chest X-rays (CXRs), particularly in acute settings where delays can have serious consequences.
Hamza Eren Güzel +2 more
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Diagnostic Performance of Multimodal Large Language Models for Grading Pediatric Vesicoureteral Reflux on MCUG: A Preliminary Study [PDF]
Journal of Indian Association of Pediatric SurgeonsAims: To evaluate the diagnostic accuracy of ChatGPT-5 and Gemini 2.5 Pro compared with a pediatric radiologist reference standard in grading vesicoureteral reflux (VUR) on pediatric micturating cystourethrogram (MCUG) studies.
Shubham Saini +4 more
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From Large Language Models to Large Multimodal Models: A Literature Review
Applied SciencesWith the deepening of research on Large Language Models (LLMs), significant progress has been made in recent years on the development of Large Multimodal Models (LMMs), which are gradually moving toward Artificial General Intelligence. This paper aims to
Dawei Huang +3 more
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Attention re-alignment in multimodal large language models via intermediate-layer guidance [PDF]
Scientific ReportsMultimodal large language models (MLLMs) have achieved impressive performance in understanding and describing visual content, setting new state-of-the-art results on a variety of visual question answering (VQA) benchmarks. However, during decoding, these
Yanming Chen +5 more
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Applied Sciences, 2023 Multimodal Relation Extraction (MRE) is a core task for constructing Multimodal Knowledge images (MKGs). Most current research is based on fine-tuning small-scale single-modal image and text pre-trained models, but we find that image-text datasets from ...
Wentao He +5 more
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Survey of Security Research on Multimodal Large Language Models [PDF]
Jisuanji kexueWith the rapid development of large language models,multimodal large language models have garnered attention for their outstanding performance across various modalities,such as language and images.These models have not only become valuable assistants in ...
CHEN Jinyin, XI Changkun, ZHENG Haibin, GAO Ming, ZHANG Tianxin
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State of the Art Survey of Automatic Question Generation Based on Large Language Models [PDF]
International Journal of TelecommunicationsAutomatic Question Generation (AQG) has emerged as one of the core research problems in educational technology owing to its potential to automate assessments and facilitate the development of adaptive learning platforms.
OLa Abdullah, Mohammed Nasef, Ahmed Emam
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Visual Maze Solving by Multimodal Large Language Models
Multimodal Technologies and InteractionWe conducted an exploratory evaluation of multimodal LLM performance on a maze-solving and path-drawing task. The task required the model to find and draw, on a supplied image of a maze, a path from the starting point to the exit without crossing the ...
Enio Ibrišagić, Dražen Domijan
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