机构
*
University of Southern California(南加州大学)
;
University of Bristol(布里斯托大学)
;
Centre National de la Recherche Scientifique(法国国家科学研究中心)
;
University of California, Los Angeles(加州大学洛杉矶分校)
机构
*
University of Illinois at Urbana-Champaign(伊利诺伊大学厄巴纳-香槟分校)
;
University of California(加州大学)
;
Huazhong Agricultural University(华中农业大学)
;
Huazhong University of Science and Technology(华中科技大学)
专题命中
领域大模型
:LLM(abstract);large language model(abstract);language model(abstract);分类 cs.AI、cs.LG
Using Artificial Intuition in Distinct, Minimalist Classification of Scientific Abstracts for Management of Technology Portfolios
Prateek Ranka, Fred Morstatter, Alexandra Graddy-Reed, Andrea Belz
机构
*
Information Sciences Institute, Viterbi School of Engineering, University of Southern California(信息科学研究所,工程学院,南加州大学)
;
Sol Price School of Public Policy, University of Southern California(索尔价格公共政策学院,南加州大学)
专题命中
领域大模型
:LLM(abstract);large language model(abstract);language model(abstract);分类 cs.AI、cs.LG
Leveraging Generic Foundation Models for Multimodal Surgical Data Analysis
Simon Pezold, Jérôme A. Kurylec, Jan S. Liechti, Beat P. Müller, Joël L. Lavanchy
机构
*
Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland(巴塞尔大学生物医学工程系)
;
Clarunis – University Digestive Health Care Center Basel, Basel, Switzerland(Clarunis – 巴塞尔大学消化健康医疗中心)
专题命中
领域大模型
:foundation model(title,abstract)
Comments13 pages, 3 figures; accepted at ML-CDS @ MICCAI 2025, Daejeon, Republic of Korea
MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis
Daniel Scholz, Ayhan Can Erdur, Viktoria Ehm, Anke Meyer-Baese, Jan C. Peeken, Daniel Rueckert, Benedikt Wiestler
机构
*
Chair for AI for Image-Guided Diagnosis and Therapy, Technical University of Munich (TUM)(人工智能辅助影像诊断与治疗研究所,慕尼黑技术大学)
;
TUM University Hospital, Munich, Germany(慕尼黑技术大学医院)
;
Munich Center for Machine Learning (MCML)(慕尼黑机器学习中心)
;
Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM)(人工智能在医疗与健康领域研究所,慕尼黑技术大学)
;
Department of Radiation Oncology, TUM University Hospital, Munich, Germany(放射肿瘤科,慕尼黑技术大学医院)
;
Chair for Computer Vision and Artificial Intelligence, Technical University of Munich (TUM)(计算机视觉与人工智能研究所,慕尼黑技术大学)
;
Department of Scientific Computing, Florida State University(科学计算系,佛罗里达州立大学)
;
Deutsches Konsortium für Translationale Krebsforschung (DKTK), Partner Site Munich(德国转化癌症研究联盟(DKTK)慕尼黑分部)
;
Institute of Radiation Medicine (IRM), Department of Radiation Sciences (DRS), Helmholtz Center Munich(放射医学研究所(IRM),辐射科学部门(DRS),海德堡中心慕尼黑)
;
Institute for Advanced Study, Technical University of Munich (TUM)(高级研究所,慕尼黑技术大学)
Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise
Hanyin Wang, Chufan Gao, Qiping Xu, Bolun Liu, Guleid Hussein, Hariprasad Korsapati, Mohamad El Labban, Kingsley Iheasirim, Mohamed Hassan, Gokhan Anil, Brian Bartlett, Jimeng Sun
机构
*
Mayo Clinic Health System(梅奥诊所健康系统)
;
School of Computing and Data Science, UIUC(UIUC计算与数据科学学院)
;
Carle Illinois College of Medicine, UIUC(UIUC卡勒医学学院)
专题命中
领域大模型
:LLM(abstract);large language model(abstract);language model(abstract);分类 cs.CL
MedFactEval and MedAgentBrief: A Framework and Workflow for Generating and Evaluating Factual Clinical Summaries
François Grolleau, Emily Alsentzer, Timothy Keyes, Philip Chung, Akshay Swaminathan, Asad Aali, Jason Hom, Tridu Huynh, Thomas Lew, April S. Liang, Weihan Chu, Natasha Z. Steele, Christina F. Lin, Jingkun Yang, Kameron C. Black, Stephen P. Ma, Fateme N. Haredasht, Nigam H. Shah, Kevin Schulman, Jonathan H. Chen
机构
*
Center for Biomedical Informatics Research, Stanford University(生物医学信息学研究所在斯坦福大学)
;
Department of Biomedical Data Science, Stanford University(生物医学数据科学系,斯坦福大学)
;
Stanford Health Care(斯坦福健康中心)
;
Department of Anesthesiology and Pain Medicine, Stanford Medicine(麻醉与疼痛医学系,斯坦福医学院)
;
Department of Radiology, Stanford University(放射科,斯坦福大学)
;
Stanford Clinical Excellence Research Center, Stanford University(斯坦福临床卓越研究中心,斯坦福大学)
;
Department of Medicine, Stanford University(医学系,斯坦福大学)
专题命中
领域大模型
:LLM(abstract);large language model(abstract);language model(abstract);分类 cs.CL
InterFeat: A Pipeline for Finding Interesting Scientific Features
Dan Ofer, Michal Linial, Dafna Shahaf
机构
*
The Hebrew University of Jerusalem(耶路撒冷希伯来大学)
;
Department of Biological Chemistry, Institute of Life Sciences, The Hebrew University of Jerusalem(生物化学系、生命科学研究所、耶路撒冷希伯来大学)
;
Department of Computer Science, The Hebrew University of Jerusalem(计算机科学系、耶路撒冷希伯来大学)
专题命中
领域大模型
:large language model(abstract);language model(abstract);分类 cs.CL、cs.AI
Position: LLMs Can be Good Tutors in English Education
Jingheng Ye, Shen Wang, Deqing Zou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Ruitong Liu, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen
机构
*
Squirrel Ai Learning
;
Tsinghua University(清华大学)
;
HKUST (Guangzhou)(香港科技大学(广州))
;
Peng Cheng Laboratory(鹏城实验室)
;
Fudan University(复旦大学)
;
The Chinese University of Hong Kong(香港中文大学)
;
University of Illinois at Chicago(伊利诺伊大学香槟分校)
专题命中
领域大模型
:large language model(abstract);language model(abstract);分类 cs.CL、cs.AI
CommentsAccepted to EMNLP 2025 Main. 20 pages, 4 figures
Advancing Scientific Text Classification: Fine-Tuned Models with Dataset Expansion and Hard-Voting
Zhyar Rzgar K Rostam, Gábor Kertész
机构
*
Doctoral School of Applied Informatics(应用信息学与应用数学博士学院)
;
Applied Mathematics Obuda University Budapest, Hungary(应用数学 奥布达大学 布达佩斯 匈牙利)
;
John von Neumann Faculty of Informatics(约翰·冯·诺伊曼信息学学院)
HAVE: Head-Adaptive Gating and ValuE Calibration for Hallucination Mitigation in Large Language Models
Xin Tong, Zhi Lin, Jingya Wang, Bo Jin
机构
*
Xin Tong School of Information and Cyber Security People’s Public Security University of China(信息与网络安全学院 中国人民公安大学)
;
Zhi Lin School of Safety Science Tsinghua University(安全科学学院 清华大学)
;
Jingya Wang School of Information and Cyber Security People’s Public Security University of China(信息与网络安全学院 中国人民公安大学)
;
Bo Jin* The Third Research Institute of the Ministry of Public Security of China(公安部第三研究所)
专题命中
知识编辑与模型理解
:large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI
Probabilistic operator learning: generative modeling and uncertainty quantification for foundation models of differential equations
Benjamin J. Zhang, Siting Liu, Stanley J. Osher, Markos A. Katsoulakis
机构
*
Division of Applied Mathematics, Brown University(布朗大学应用数学系)
;
Department of Mathematics, University of California, Riverside(加州大学河滨分校数学系)
;
Department of Mathematics, University of California, Los Angeles(加州大学洛杉矶分校数学系)
;
Department of Mathematics and Statistics, University of Massachusetts Amherst(马萨诸塞大学阿默斯特分校数学与统计学系)