语言大模型 / LLM

Trade-offs in Cross-Domain Generalization of Foundation Model Fine-Tuned for Biometric Applications

Tahar Chettaoui, Naser Damer, Fadi Boutros

机构 * Fraunhofer Institute for Computer Graphics Research IGD（弗劳恩霍夫计算机图形研究研究所） 纠错

专题命中 领域大模型 ：foundation model(title,abstract)

Comments Accepted at the IEEE International Joint Conference on Biometrics 2025 (IJCB 2025)

ALL-PET: A Low-resource and Low-shot PET Foundation Model in Projection Domain

Bin Huang, Kang Chen, Bingxuan Li, Huafeng Liu, Qiegen Liu

专题命中 领域大模型 ：foundation model(title,abstract)

A Fully Open and Generalizable Foundation Model for Ultrasound Clinical Applications

Hongyuan Zhang, Yuheng Wu, Mingyang Zhao, Zhiwei Chen, Rebecca Li, Fei Zhu, Haohan Zhao, Xiaohua Yuan, Meng Yang, Chunli Qiu, Xiang Cong, Haiyan Chen, Lina Luan, Randolph H. L. Wong, Huai Liao, Colin A Graham, Shi Chang, Guowei Tao, Dong Yi, Zhen Lei, Nassir Navab, Sebastien Ourselin, Jiebo Luo, Hongbin Liu, Gaofeng Meng

机构 * Center for Artificial Intelligence and Robotics, Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences, Hong Kong, China（人工智能与机器人中心，香港科学创新研究所，中国科学院，香港，中国） ； State Key Laboratory of Mathematical Sciences, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China（数学科学国家重点实验室，数学与系统科学研究院，中国科学院，北京，中国） ； University of Chinese Academy of Sciences, Beijing, China（中国科学院大学，北京，中国） ； Division of Electronic Engineering, Faculty of Engineering, The Chinese University of Hong Kong, Hong Kong, China（电子工程系，工程学院，香港中文大学，香港，中国） ； Accident and Emergency Medicine Academic Unit, The Chinese University of Hong Kong, Hong Kong, China（急诊医学学术单位，香港中文大学，香港，中国） ； Xiangya Hospital Central South University, Changsha, China（湘雅医院，中南大学，长沙，中国） ； Hunan Frontline Medical Technology Co., Ltd, Changsha, China（湖南前线医疗技术有限公司，长沙，中国） ； Qilu Hospital of Shandong University, Jinan, China（山东大学齐鲁医院，济南，中国） ； Zhongshan Hospital of Fudan University, Shanghai, China（复旦大学中山医院，上海，中国） ； Shanghai Geriatric Medical Center, Shanghai, China（上海老年医学中心，上海，中国） 纠错

专题命中 领域大模型 ：foundation model(title,abstract)

SQLGovernor: An LLM-powered SQL Toolkit for Real World Application

Jie Jiang, Siqi Shen, Haining Xie, Yang Li, Yu Shen, Danqing Huang, Bo Qian, Yinjun Wu, Wentao Zhang, Bin Cui, Peng Chen

专题命中 领域大模型 ：LLM(title,abstract)

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） 纠错

专题命中 领域大模型 ：foundation model(title,abstract)

Comments 13 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） 纠错

专题命中 领域大模型 ：foundation model(title,abstract)

VLSM-Ensemble: Ensembling CLIP-based Vision-Language Models for Enhanced Medical Image Segmentation

Julia Dietlmeier, Oluwabukola Grace Adegboro, Vayangi Ganepola, Claudia Mazo, Noel E. O'Connor

机构 * Insight Research Ireland Centre for Data Analytics, DCU, Dublin, Ireland（爱尔兰洞察研究爱尔兰数据分析中心，都柏林大学，都柏林） ； Research Ireland Centre for Research Training in Machine Learning, DCU, Dublin, Ireland（爱尔兰研究爱尔兰机器学习研究培训中心，都柏林大学，都柏林） ； School of Computing, Dublin City University, Dublin, Ireland（计算学院，都柏林城市大学，都柏林） 纠错

专题命中 领域大模型 ：language model(title,abstract)

Comments Medical Imaging with Deep Learning (MIDL 2025) short paper

Generalist versus Specialist Vision Foundation Models for Ocular Disease and Oculomics

Yukun Zhou, Paul Nderitu, Jocelyn Hui Lin Goh, Justin Engelmann, Siegfried K. Wagner, Anran Ran, Hongyang Jiang, Lie Ju, Ke Zou, Sahana Srinivasan, Hyunmin Kim, Takahiro Ninomiya, Zheyuan Wang, Gabriel Dawei Yang, Eden Ruffell, Dominic Williamson, Rui Santos, Gabor Mark Somfai, Carol Y. Cheung, Tien Yin Wong, Daniel C. Alexander, Yih Chung Tham, Pearse A. Keane

专题命中 领域大模型 ：foundation model(title,abstract)

Comments 39 pages, 8 Figures

Simplifying Traffic Anomaly Detection with Video Foundation Models

Svetlana Orlova, Tommie Kerssies, Brunó B. Englert, Gijs Dubbelman

机构 * Eindhoven University of Technology（埃因霍温理工大学） 纠错

专题命中 领域大模型 ：foundation model(title,abstract)

Comments ICCVW 2025 accepted. Code: https://github.com/tue-mps/simple-tad

A Modality-agnostic Multi-task Foundation Model for Human Brain Imaging

Peirong Liu, Oula Puonti, Xiaoling Hu, Karthik Gopinath, Annabel Sorby-Adams, Daniel C. Alexander, W. Taylor Kimberly, Juan E. Iglesias

专题命中 领域大模型 ：foundation model(title,abstract)

Comments 16 pages

ALow-Cost Real-Time Framework for Industrial Action Recognition Using Foundation Models

Zhicheng Wang, Wensheng Liang, Ruiyan Zhuang, Shuai Li, Jianwei Tan, Xiaoguang Ma

机构 * College of Information Science and Engineering, Northeastern University, Shenyang, China（信息科学与工程学院，东北大学，沈阳，中国） ； School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China（机械工程与自动化学院，东北大学，沈阳，中国） ； Enterprise AI, Midea AI Innovation Center, Foshan, China（企业人工智能，美的人工智能创新中心，佛山，中国） ； Foshan Graduate School of innovation, Northeastern University, Foshan, China（佛山创新研究生学院，东北大学，佛山，中国） 纠错

专题命中 领域大模型 ：foundation model(title,abstract)

MedFoundationHub: A Lightweight and Secure Toolkit for Deploying Medical Vision Language Foundation Models

Xiao Li, Yanfan Zhu, Ruining Deng, Wei-Qi Wei, Yu Wang, Shilin Zhao, Yaohong Wang, Haichun Yang, Yuankai Huo

机构 * Vanderbilt University（范德比尔特大学） ； Weill Cornell Medicine（韦尔·科恩医学中心） ； Vanderbilt University Medical Center（范德比尔特大学医学中心） ； UT MD Anderson Cancer Center（德克萨斯大学MD安德森癌症中心） 纠错

专题命中 领域大模型 ：foundation model(title)；language model(abstract)

Bridging Domain Gaps for Fine-Grained Moth Classification Through Expert-Informed Adaptation and Foundation Model Priors

Ross J Gardiner, Guillaume Mougeot, Sareh Rowlands, Benno I Simmons, Flemming Helsing, Toke Thomas Høye

机构 * University of Exeter（埃克塞特大学） ； Aarhus University（奥胡斯大学） 纠错

专题命中 领域大模型 ：foundation model(title,abstract)

MegaScience: Pushing the Frontiers of Post-Training Datasets for Science Reasoning

Run-Ze Fan, Zengzhi Wang, Pengfei Liu

机构 * Shanghai Jiao Tong University（上海交通大学） ； SII ； GAIR Lab（GAIR实验室） 纠错

专题命中 领域大模型 ：post-training(title)；分类 cs.CL、cs.AI、cs.LG

Comments 39 pages; Github: https://github.com/GAIR-NLP/MegaScience; HF: https://huggingface.co/MegaScience

Toward Robust Medical Fairness: Debiased Dual-Modal Alignment via Text-Guided Attribute-Disentangled Prompt Learning for Vision-Language Models

Yuexuan Xia, Benteng Ma, Jiang He, Zhiyong Wang, Qi Dou, Yong Xia

机构 * National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology（集成空天地海大数据应用技术国家工程实验室） ； Northwestern Polytechnical University（西北工业大学） ； Huiying Medical Technology Company Ltd.（慧影医疗技术有限公司） ； The School of Computer Science（计算机学院） ； The University of Sydney（悉尼大学） ； Department of Computer Science and Engineering（计算机科学与工程系） ； The Chinese University of Hong Kong（香港中文大学） 纠错

专题命中 领域大模型 ：language model(title,abstract)

Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images

Zahra TehraniNasab, Hujun Ni, Amar Kumar, Tal Arbel

机构 * McGill University（麦吉尔大学） ； MILA-Quebec AI Institute（魁北克AI研究所） 纠错

专题命中 领域大模型 ：foundation model(title,abstract)

Dual-Role Dynamics in Prompting: Elementary Pre-service Teachers' AI Prompting Strategies for Representational Choices

Razan Hamed, Amogh Sirnoorkar, N. Sanjay Rebello

专题命中 领域大模型 ：prompting(title,abstract)

Comments 6 pages, no figures, Physics Education Research Conference 2025

Generalizable Engagement Estimation in Conversation via Domain Prompting and Parallel Attention

Yangche Yu, Yin Chen, Jia Li, Peng Jia, Yu Zhang, Li Dai, Zhenzhen Hu, Meng Wang, Richang Hong

机构 * School of Computer Science and Information Engineering, Hefei University of Technology（计算机科学与信息工程学院，合肥工业大学） 纠错

专题命中 领域大模型 ：prompting(title,abstract)

Comments 1st Place in the Engagement Estimation Task held by MultiMediate 25

Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models

Dexia Chen, Wentao Zhang, Qianjie Zhu, Ping Hu, Weibing Li, Tong Zhang, Ruixuan Wang

专题命中 领域大模型 ：language model(title,abstract)

CarAT: Carbon Atom Tracing across Industrial Chemical Value Chains via Chemistry Language Models

Emma Pajak, David Walz, Olga Walz, Laura Marie Helleckes, Klaus Hellgardt, Antonio del Rio Chanona

专题命中 领域大模型 ：language model(title,abstract)

Comments 21 pages, 9 figures, pre-print

Your other Left! Vision-Language Models Fail to Identify Relative Positions in Medical Images

Daniel Wolf, Heiko Hillenhagen, Billurvan Taskin, Alex Bäuerle, Meinrad Beer, Michael Götz, Timo Ropinski

机构 * Visual Computing Group, Institute of Media Informatics, Ulm University, Germany（媒体信息研究所视觉计算组，乌尔姆大学，德国） ； Diagnostic and Interventional Radiology, Ulm University Medical Center, Germany（乌尔姆大学医学中心诊断与介入放射学） ； Axiom Bio, USA（Axiom Bio公司，美国） 纠错

专题命中 领域大模型 ：language model(title,abstract)

Comments Accepted at the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2025

Zero-shot Shape Classification of Nanoparticles in SEM Images using Vision Foundation Models

Freida Barnatan, Emunah Goldstein, Einav Kalimian, Orchen Madar, Avi Huri, David Zitoun, Ya'akov Mandelbaum, Moshe Amitay

机构 * Department of Bioinformatics, Jerusalem College of Technology（生物信息学系，耶路撒冷技术学院） ； Bar-Ilan University（巴伊兰大学） ； Jerusalem College of Technology（耶路撒冷技术学院） ； Bar-Ilan Institute of Nanotechnology and Advanced Material（巴伊兰纳米技术与先进材料研究所） ； Department of Electrical Engineering / Department of Electrooptical Engineering and Applied Physics（电气工程系 / 电光学工程与应用物理学系） 纠错

专题命中 领域大模型 ：foundation model(title,abstract)

Predicting EGFR Mutation in LUAD from Histopathological Whole-Slide Images Using Pretrained Foundation Model and Transfer Learning: An Indian Cohort Study

Sagar Singh Gwal, Rajan, Suyash Devgan, Shraddhanjali Satapathy, Abhishek Goyal, Nuruddin Mohammad Iqbal, Vivaan Jain, Prabhat Singh Mallik, Deepali Jain, Ishaan Gupta

专题命中 领域大模型 ：foundation model(title,abstract)

Comments 14 pages, 4 figures and 2 tables

From Continuous to Discrete: Cross-Domain Collaborative General Speech Enhancement via Hierarchical Language Models

Zhaoxi Mu, Rilin Chen, Andong Li, Meng Yu, Xinyu Yang, Dong Yu

机构 * Xi'an Jiaotong University（西安交通大学） ； Tencent AI Lab（腾讯AI实验室） ； Institute of Acoustics, Chinese Academy of Sciences（中国科学院声学研究所） 纠错

专题命中 领域大模型 ：language model(title,abstract)

Comments ACMMM 2025

PKAG-DDI: Pairwise Knowledge-Augmented Language Model for Drug-Drug Interaction Event Text Generation

Ziyan Wang, Zhankun Xiong, Feng Huang, Wen Zhang

专题命中 领域大模型 ：language model(title,abstract)

Learning from SAM: Harnessing a Foundation Model for Sim2Real Adaptation by Regularization

Mayara E. Bonani, Max Schwarz, Sven Behnke

机构 * Autonomous Intelligent Systems, University of Bonn, Germany（博恩大学自主智能系统） ； Lamarr Institute for Machine Learning and AI, Germany（机器学习与人工智能拉马尔研究所） ； Center for Robotics, University of Bonn, Germany（机器人中心） 纠错

专题命中 领域大模型 ：foundation model(title,abstract)

Comments Accepted for IEEE International Conference on Automation Science and Engineering (CASE) 2025. M. E. Bonani and M. Schwarz contributed equally

Foundation Models as Class-Incremental Learners for Dermatological Image Classification

Mohamed Elkhayat, Mohamed Mahmoud, Jamil Fayyad, Nourhan Bayasi

机构 * Cairo University（开罗大学） ； University of Victoria（维多利亚大学） ； University of British Columbia（不列颠哥伦比亚大学） 纠错

专题命中 领域大模型 ：foundation model(title,abstract)

Comments Accepted at the MICCAI EMERGE 2025 workshop

How Far Have Medical Vision-Language Models Come? A Comprehensive Benchmarking Study

Che Liu, Jiazhen Pan, Weixiang Shen, Wenjia Bai, Daniel Rueckert, Rossella Arcucci

机构 * Imperial College London, UK（伦敦帝国学院） ； Technical University of Munich, Germany（慕尼黑技术大学） ； Ludwig Maximilian University of Munich（慕尼黑路德维希-马克西米利安大学） 纠错

专题命中 领域大模型 ：language model(title,abstract)

Comments Technical report

Mind the Modality Gap: Towards a Remote Sensing Vision-Language Model via Cross-modal Alignment

Angelos Zavras, Dimitrios Michail, Begüm Demir, Ioannis Papoutsis

机构 * organization= Orion Lab, National Observatory of Athens \& National Technical University of Athens , country= Greece ； organization= Department of Informatics \& Telematics, Harokopio University of Athens , country= Greece ； organization= Faculty of Electrical Engineering ； organization= BIFOLD - Berlin Institute for the Foundations of Learning 纠错

专题命中 领域大模型 ：language model(title)；foundation model(abstract)

Comments Accepted at the ISPRS Journal of Photogrammetry and Remote Sensing. Our code implementation and weights for all experiments are publicly available at https://github.com/Orion-AI-Lab/MindTheModalityGap

Continued domain-specific pre-training of protein language models for pMHC-I binding prediction

Sergio E. Mares, Ariel Espinoza Weinberger, Nilah M. Ioannidis

专题命中 领域大模型 ：language model(title,abstract)

Comments Accepted to the 20th Machine Learning in Computational Biology (MLCB) Proceedings of Machine Learning Research