Results 21 to 30 of about 15,745,009 (280)

State of the Art Survey of Automatic Question Generation Based on Large Language Models [PDF]

International Journal of Telecommunications
Automatic 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
doaj   +1 more source

Multimodal Intercultural Information and Communication Technology - A Framework for Designing and Evaluating Multimodal Intercultural Communicators [PDF]

, 2009
Även tillgänglig i Hprints: http://hprints.org/hprints-00504104The paper presents a framework, combined with a checklist for designing and evaluating multimodal, intercultural ICT, especially when embodied artificial communicators are used as front ends
Ahlsén, Elisabeth, Elisabeth Ahlsén, Ahlsén, E., Allwood, Jens,, Allwood, Jens, Jens Allwood   +5 more
core   +1 more source

Model Composition for Multimodal Large Language Models

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Recent developments in Multimodal Large Language Models (MLLMs) have shown rapid progress, moving towards the goal of creating versatile MLLMs that understand inputs from various modalities. However, existing methods typically rely on joint training with paired multimodal instruction data, which is resource-intensive and challenging to extend to new ...
Chi Chen 0005, Yiyang Du, Zheng Fang, Ziyue Wang 0002, Fuwen Luo, Peng Li 0030, Ming Yan 0008, Ji Zhang 0011, Fei Huang 0002, Maosong Sun 0001, Yang Liu 0005   +10 more
openaire   +3 more sources

Multimodal large language models for bioimage analysis

Nature Methods
Rapid advancements in imaging techniques and analytical methods over the past decade have revolutionized our ability to comprehensively probe the biological world at multiple scales, pinpointing the type, quantity, location, and even temporal dynamics of biomolecules.
Shanghang Zhang, Gaole Dai, Tiejun Huang, Jianxu Chen   +3 more
openaire   +4 more sources

Infant Embryonal CNS Tumors: Molecular Insights and Treatment Considerations for Contemporary Pediatric Neuro‐Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Embryonal tumors comprise the majority of malignant central nervous system (CNS) neoplasms diagnosed in children under 3 years of age. Compared with their counterparts in older children, these tumors exhibit distinct molecular biology and a more aggressive clinical phenotype, while their management is complicated by the heightened ...
Sudarshawn Damodharan, Mariah Wright‐Nadkarni, Mohamed S. Abdelbaki, Girish Dhall   +3 more
wiley   +1 more source

Impact of Radiation Therapy on Physical and Psychosocial Health of Adolescents and Young Adults: A Joint Report From the Children's Oncology Group AYA and Radiation Oncology Committees

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani, Rachel K. Peterson, Avani D. Rao, Laurie J. McKenzie, Ahmed Magdy Elmotayam, Leslie Chang, Michael Roth, Susan L. McGovern   +7 more
wiley   +1 more source

Medical multimodal large language models: A systematic review

Intelligent Oncology
The rapid advancement of artificial intelligence (AI) has ushered in a new era of medical multimodal large language models (MLLMs), which integrate diverse data modalities such as text, imaging, physiological signals, and genomics to enhance clinical ...
Yuan Hu, Chenhan Xu, Bo Lin, Weibin Yang, Yuan Yan Tang   +4 more
doaj   +1 more source

Spatial biology in cancer epigenetics

Molecular Oncology, EarlyView.
Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley   +1 more source

AI-enabled language models (LMs) to large language models (LLMs) and multimodal large language models (MLLMs) in drug discovery and development

Journal of Advanced Research
Background: Due to the recent revolution of artificial intelligence (AI), AI-enabled large language models (LLMs) have flourished and started to be applied in various sectors of science and medicine.
Chiranjib Chakraborty, Manojit Bhattacharya, Soumen Pal, Srijan Chatterjee, Arpita Das, Sang-Soo Lee   +5 more
doaj   +1 more source

The Revolution of Multimodal Large Language Models: A Survey

Findings of the Association for Computational Linguistics ACL 2024
ACL 2024 (Findings)
Davide Caffagni, Federico Cocchi, Luca Barsellotti, Nicholas Moratelli, Sara Sarto, Lorenzo Baraldi, Lorenzo Baraldi, Marcella Cornia, Rita Cucchiara   +8 more
openaire   +5 more sources