Results 21 to 30 of about 16,010,491 (260)

Integrating Graphs with Large Language Models: Methods and Prospects [PDF]

, 2023
Large language models (LLMs) such as GPT-4 have emerged as frontrunners, showcasing unparalleled prowess in diverse applications, including answering queries, code generation, and more.
Zheng, Yizhen, Pan, Shirui, Liu, Yixin
core   +1 more source

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

Medical education empowered by generative artificial intelligence large language models

, 2023
Generative artificial intelligence (GAI) large language models (LLMs), like ChatGPT, have become the world's fastest growing applications. Here, we provide useful strategies for educators in medical and health science (M&HS) to integrate GAI-LLMs ...
Todorovic, Michael, Singleton, R, Jessica Stokes-Parish, Stokes-Parish, Jessica, Todorovic, M, Stokes-Parish, J, Michael Todorovic, Jowsey, Tanisha, Singleton, Rachelle, Tanisha Jowsey, Rachelle Singleton, Jowsey, T   +11 more
core   +1 more source

Large-scale evaluation of multimodal large language models for pneumothorax detection

Diagnostic and Interventional Radiology
PURPOSE: 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, Cemre Özenbaş, Ali Murat Koç   +2 more
doaj   +1 more source

Enhancing Agriculture QA Models Using Large Language Models [PDF]

BIO Web of Conferences
Agriculture is a complex process that requires a great deal of knowledge and experience. Yet, the complexity and often chaotic nature of web data presents a considerable challenge in obtaining suitable results.
He Xiaoyan
doaj   +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

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

Leveraging Large Language Models for Predictive Chemistry [PDF]

, 2023
Machine learning has revolutionized many fields and has recently found applications in chemistry and materials science. The small datasets commonly found in chemistry sparked the development of sophisticated machine-learning approaches that incorporate ...
Andres , Ortega-Guerrero, Kevin Maik, Jablonka, Philippe , Schwaller, Berend, Smit   +3 more
core   +2 more sources

Large language models for bioinformatics

Quantitative Biology
With the rapid advancements in large language model technology and the emergence of bioinformatics‐specific language models (BioLMs), there is a growing need for a comprehensive analysis of the current landscape, computational characteristics, and ...
Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu   +54 more
doaj   +1 more source

Neuropsychological and Educational Outcomes in Shwachman–Diamond Syndrome—A Report From the North American Shwachman–Diamond Syndrome Registry

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Shwachman–Diamond syndrome (SDS) is a rare autosomal recessive ribosomopathy characterized by bone marrow failure and multisystem involvement, with emerging evidence of associated neurocognitive impairment. Methods We conducted a retrospective study of 240 individuals with biallelic Shwachman–Bodian–Diamond syndrome (SBDS) mutations
Jane Koo, Melissa Gerstle, Leah Cheng, Richard Cooper, Katherine Coyne, Claire Dusa, Naomi E. Joffe, Diana Schwarz, Sarah Steltz, Akiko Shimamura, Kasiani C. Myers, Thea Quinton   +11 more
wiley   +1 more source