机构
*
Japan Advanced Institute of Science and Technology(日本先进科学研究院)
;
VNU University of Engineering and Technology(VNU工程大学)
;
VNU University of Law(VNU法律大学)
;
National Institute of Informatics(国立信息学研究所)
专题命中
领域大模型
:large language model(abstract);language model(abstract);分类 cs.CL、cs.AI
The Responsible Development of Automated Student Feedback with Generative AI
Euan D Lindsay, Mike Zhang, Aditya Johri, Johannes Bjerva
机构
*
UNESCO Centre for Problem Based Learning at Aalborg University(奥尔堡大学问题导向学习中心)
;
Department of Computer Science, Aalborg University(奥尔堡大学计算机科学系)
;
Technocritical Research on AI, Learning & Society Lab (trailsLAB)(人工智能、学习与社会实验室)
专题命中
领域大模型
:large language model(abstract);language model(abstract);分类 cs.CL、cs.AI
CommentsPre-print of version accepted to EDUCON 2025
Zero-shot Medical Event Prediction Using a Generative Pre-trained Transformer on Electronic Health Records
Ekaterina Redekop, Zichen Wang, Rushikesh Kulkarni, Mara Pleasure, Aaron Chin, Hamid Reza Hassanzadeh, Brian L. Hill, Melika Emami, William Speier, Corey W. Arnold
机构
*
Biomedical AI Research Lab, University of California, Los Angeles, Los Angeles, USA(生物医学人工智能研究实验室,加州大学洛杉矶分校)
;
Department of Radiology, University of California, Los Angeles, Los Angeles, USA(放射科,加州大学洛杉矶分校)
;
Department of Bioengineering, University of California, Los Angeles, Los Angeles, USA(生物工程系,加州大学洛杉矶分校)
;
Bioinformatics, University of California, Los Angeles, Los Angeles, USA(生物信息学,加州大学洛杉矶分校)
;
Department of Pediatrics, Division of Immunology, Allergy and Rheumatology, University of California, Los Angeles, Los Angeles, USA(儿科,免疫学、过敏与风湿病学部,加州大学洛杉矶分校)
;
Health Department of Information Services and Solutions, University of California, Los Angeles, University of California, Los Angeles, Los Angeles, USA(信息服务与解决方案健康部门,加州大学洛杉矶分校)
;
Department of Computational Medicine, University of California Los Angeles, Los Angeles, CA, USA(计算医学系,加州大学洛杉矶分校)
CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation
Peter Jansen, Oyvind Tafjord, Marissa Radensky, Pao Siangliulue, Tom Hope, Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Daniel S. Weld, Peter Clark
Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs
Gyutaek Oh, Seoyeon Kim, Sangjoon Park, Byung-Hoon Kim
机构
*
Department of Biomedical Systems Informatics, Yonsei University College of Medicine(生物医学系统信息学系,延世大学医学院)
;
Yonsei University College of Medicine(延世大学医学院)
;
Department of Radiation Oncology, Yonsei University College of Medicine(放射肿瘤学系,延世大学医学院)
;
Department of Biomedical Systems Informatics and the Department of Psychiatry, Yonsei University College of Medicine(生物医学系统信息学系和精神病学系,延世大学医学院)
;
Institute for Innovation in Digital Healthcare, Yonsei University(数字医疗创新研究所,延世大学)
专题命中
领域大模型
:large language model(abstract);language model(abstract);分类 cs.CL、cs.AI
Low-resource domain adaptation while minimizing energy and hardware resource consumption
Hernán Maina, Nicolás Wolovick, Luciana Benotti
机构
*
FAMAF, Universidad Nacional de Córdoba(科罗纳大学福马夫学院)
;
CONICET, Argentina(阿根廷国家科学与技术委员会)
专题命中
领域大模型
:large language model(abstract);language model(abstract);分类 cs.CL、cs.LG
CommentsA shorter version of this work was accepted as a two-page abstract for presentation at the Widening Natural Language Processing (WiNLP) 2023 Workshop. That version was not publicly released, and this is the first public version of the work