AI 大模型

多模态大模型

跨文本、图像、视频、音频等模态的大模型与学习方法。

2025-11-04 至 2025-11-04 共收录 6 篇信号源：cs.CV, cs.CL, cs.AI, cs.MM, eess.AS

1. 多模态Agent 6 篇

2511.00940 2025-11-04 cs.RO cs.AI 83%

URDF-Anything: Constructing Articulated Objects with 3D Multimodal Language Model

Zhe Li, Xiang Bai, Jieyu Zhang, Zhuangzhe Wu, Che Xu, Ying Li, Chengkai Hou, Shanghang Zhang

机构 * State Key Laboratory of Multimedia Information Processing, School of Computer Science, Peking University（多媒体信息处理国家重点实验室，计算机学院，北京大学）； University of Washington（华盛顿大学）

专题命中多模态Agent ：multimodal(title,abstract)；MLLM(abstract)；分类 cs.AI

Comments Accepted to the 39th Conference on Neural Information Processing Systems (NeurIPS 2025)

2503.05335 2025-11-04 cs.CV 74%

New multimodal similarity measure for image registration via modeling local functional dependence with linear combination of learned basis functions

Joel Honkamaa, Pekka Marttinen

机构 * Department of Computer Science（计算机科学系）

专题命中多模态Agent ：multimodal(title)；分类 cs.CV

Comments Improved experimental setup

2505.15685 2025-11-04 cs.RO 67%

From Grounding to Manipulation: Case Studies of Foundation Model Integration in Embodied Robotic Systems

Xiuchao Sui, Daiying Tian, Qi Sun, Ruirui Chen, Dongkyu Choi, Kenneth Kwok, Soujanya Poria

机构 * IHPC, Agency for Science, Technology and Research, Singapore（科技研究局智能技术中心，新加坡）； Nanyang Technological University, Singapore（南洋理工大学，新加坡）

专题命中多模态Agent ：multimodal(abstract)；cross-modal(abstract)

Comments EMNLP 2025 camera ready

2511.00096 2025-11-04 cs.MA cs.AI cs.CY 57%

Urban-MAS: Human-Centered Urban Prediction with LLM-Based Multi-Agent System

Shangyu Lou

机构 * University of California, Santa Barbara \& San Diego State University California USA ； University of California, Santa Barbara \& San Diego State University

专题命中多模态Agent ：multimodal(abstract)；分类 cs.AI

Comments Accepted to The 3rd ACM SIGSPATIAL International Workshop on Advances in Urban AI (UrbanAI'25)

2511.00933 2025-11-04 cs.RO cs.CV 57%

Fast-SmartWay: Panoramic-Free End-to-End Zero-Shot Vision-and-Language Navigation

Xiangyu Shi, Zerui Li, Yanyuan Qiao, Qi Wu

机构 * Australian Institute for Machine Learning, the University of Adelaide（澳大利亚机器学习研究所、阿德莱德大学）； CREATE Lab, Swiss Federal Institute of Technology Lausanne (EPFL)（洛桑联邦理工学院CREATE实验室）

专题命中多模态Agent ：multimodal(abstract)；分类 cs.CV

2511.00936 2025-11-04 cs.HC 50%

Exploring Human-AI Interaction with Patient-Generated Health Data Sensemaking for Cardiac Risk Reduction

Pavithren V S Pakianathan, Rania Islambouli, Hannah McGowan, Diogo Branco, Tiago Guerreiro, Jan David Smeddinck

专题命中多模态Agent ：multi-modal(abstract)

Comments Presented as demonstration at the workshop on visual analytics in healthcare (VAHC) (in conjunction with IEEE VIS 2025)