多模态大模型

iLearnRobot: An Interactive Learning-Based Multi-Modal Robot with Continuous Improvement

Kohou Wang, ZhaoXiang Liu, Lin Bai, Kun Fan, Xiang Liu, Huan Hu, Kai Wang, Shiguo Lian

机构 * Unicom Data Intelligence（中国联通数据智能研究所） ； Data Science & Artificial Intelligence Research Institute（数据科学与人工智能研究院） ； China United Network Communications Group Corporation Limited（中国联合网络通信集团有限公司） 纠错

专题命中 跨模态检索 ：multi-modal(title,abstract)；MLLM(abstract)；分类 cs.CV、cs.AI

Comments 17 pages, 12 figures

Contrastive Learning-Driven Traffic Sign Perception: Multi-Modal Fusion of Text and Vision

Qiang Lu, Waikit Xiu, Xiying Li, Shenyu Hu, Shengbo Sun

机构 * School of Intelligent Systems Engineering, Sun Yat-sen University（中山大学智能系统工程学院） ； Guangdong Provincial Key Laboratory of Intelligent Transportation System（广东省智能交通系统重点实验室） 纠错

专题命中 跨模态检索 ：multi-modal(title)；multimodal(abstract)；cross-modal(abstract)；分类 cs.CV

Comments 11pages, 5 figures

Multi-Modal Motion Retrieval by Learning a Fine-Grained Joint Embedding Space

Shiyao Yu, Zi-An Wang, Kangning Yin, Zheng Tian, Mingyuan Zhang, Weixin Si, Shihao Zou

机构 * Southern University of Science and Technology（南方科技大学） ； Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences（深圳先进技术研究院，中国科学院） ； University of Chinese Academy of Sciences（中国科学院大学） ； ShanghaiTech University（上海科技大学） ； Nanyang Technological University（南洋理工大学） ； Faculty of Computer Science and Control Engineering, Shenzhen University of Advanced Technology（计算机科学与控制工程学院，深圳大学先进技术学院） 纠错

专题命中 跨模态检索 ：multi-modal(title,abstract)；分类 cs.CV

Comments Accepted by IEEE TMM 2025

A Graph-based Approach for Multi-Modal Question Answering from Flowcharts in Telecom Documents

Sumit Soman, H. G. Ranjani, Sujoy Roychowdhury, Venkata Dharma Surya Narayana Sastry, Akshat Jain, Pranav Gangrade, Ayaaz Khan

机构 * Ericsson R&D Bangalore Karnataka India（爱立信研发部班加罗尔卡纳塔克邦印度） 纠错

专题命中 跨模态检索 ：multi-modal(title)；分类 cs.CL、cs.AI

Comments Accepted for publication at the KDD 2025 Workshop on Structured Knowledge for Large Language Models

Zero-Shot Document Understanding using Pseudo Table of Contents-Guided Retrieval-Augmented Generation

Hyeon Seong Jeong, Sangwoo Jo, Byeong Hyun Yoon, Yoonseok Heo, Haedong Jeong, Taehoon Kim

专题命中 跨模态检索 ：multimodal(abstract)；分类 cs.AI