多模态大模型

QiNN-QJ: A Quantum-inspired Neural Network with Quantum Jump for Multimodal Sentiment Analysis

Yiwei Chen, Kehuan Yan, Yu Pan, Daoyi Dong

机构 * School of Engineering, Yunnan University（云南大学工程学院） ； College of Computer and Data Science, Fuzhou University（福州大学计算机与数据科学学院） ； Institute of Cyber-Systems and Control, College of Control Science and Engineering, Zhejiang University（浙江大学控制科学与工程学院智能系统与控制研究所） ； Australian Artificial Intelligence Institute, Faculty of Engineering and Information Technology, University of Technology Sydney（新南威尔士大学人工智能研究所） 纠错

专题命中 多模态训练与对齐 ：multimodal(title,abstract)；cross-modal(abstract)；分类 cs.AI

Multi-Modal Feature Fusion for Spatial Morphology Analysis of Traditional Villages via Hierarchical Graph Neural Networks

Jiaxin Zhang, Zehong Zhu, Junye Deng, Yunqin Li, and Bowen Wang

机构 * Architecture and Design College, Nanchang University（南昌大学建筑与设计学院） ； SANKEN, The University of Osaka（大阪大学） 纠错

专题命中 多模态训练与对齐 ：multi-modal(title)；multimodal(abstract)；分类 cs.CV、cs.AI

M^3Detection: Multi-Frame Multi-Level Feature Fusion for Multi-Modal 3D Object Detection with Camera and 4D Imaging Radar

Xiaozhi Li, Huijun Di, Jian Li, Feng Liu, Wei Liang

机构 * Radar Technology Research Institute, School of Information and Electronics, Beijing Institute of Technology（雷达技术研究所，信息电子学院，北京理工大学） ； Key Laboratory of Electronic and Information Technology in Satellite Navigation, Ministry of Education（卫星导航电子信息技术重点实验室，教育部） ； School of Computer Science, Beijing Institute of Technology（计算机学院，北京理工大学） ； Beijing Racobit Electronic Information Technology Co., Ltd.（北京Racobit电子信息技术有限公司） 纠错

专题命中 多模态训练与对齐 ：multi-modal(title,abstract)；分类 cs.CV

Comments 16 pages, 9 figures

A tutorial on discovering and quantifying the effect of latent causal sources of multimodal EHR data

Marco Barbero-Mota, Eric V. Strobl, John M. Still, William W. Stead, Thomas A. Lasko

机构 * Department of Biomedical Informatics Vanderbilt University Medical Center（生物医学信息学系范德堡大学医学中心） ； Department of Biomedical Informatics University of Pittsburgh（生物医学信息学系匹兹堡大学） ； Departments of Medicine & Biomedical Informatics Vanderbilt University Medical Center（医学与生物医学信息学系范德堡大学医学中心） ； Departments of Biomedical Informatics & Computer Science Vanderbilt University Medical Center & Vanderbilt University（生物医学信息学与计算机科学系范德堡大学医学中心及范德堡大学） 纠错

专题命中 多模态训练与对齐 ：multimodal(title,abstract)

Comments Accepted at the 1st Multimodal Representation Learning for Healthcare EurIPS 2025 Workshop (https://multimodal-rep-learning-for-health.github.io/)

Teaching competencies in physics for engineering education: A qualitative analysis from teaching practice

Vanessa Cruz Molina, Daniel Sanchez Guzman, Teodoro Rivera Montalvo, Ricardo Garcia-Salcedo

专题命中 多模态训练与对齐 ：multimodal(abstract)

Comments 18 pages

MaterialsGalaxy: A Platform Fusing Experimental and Theoretical Data in Condensed Matter Physics

Tiannian Zhu, Zhong Fang, Quansheng Wu, Hongming Weng

专题命中 多模态训练与对齐 ：cross-modal(abstract)

Comments 18 pages, 5 figures. Accepted for publication in Chinese Physics B (24 October 2025)

Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm

Nanyu Luo, Feng Ji

机构 * University of Toronto（多伦多大学） 纠错

专题命中 多模态训练与对齐 ：multimodal(abstract)