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。

2025-08-01 至 2025-08-01 共收录 5 篇信号源：cs.CV, cs.CL, cs.AI, cs.MM, eess.AS

1. 图文多模态 5 篇

2411.18659 2025-08-01 cs.CV cs.AI 84%

DHCP: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-Language Models

Yudong Zhang, Ruobing Xie, Xingwu Sun, Yiqing Huang, Jiansheng Chen, Zhanhui Kang, Di Wang, Yu Wang

机构 * Tsinghua University, Tencent（清华大学、腾讯）； Tencent（腾讯）； Tencent, University of Macau（腾讯、澳门大学）； University of Science and Technology Beijing（北京科技大学）； Tsinghua University（清华大学）

专题命中图文多模态：cross-modal(title,abstract)；multimodal(abstract)；分类 cs.CV、cs.AI

Comments Accepted by ACM Multimedia 2025

2503.15621 2025-08-01 cs.CV cs.AI cs.CL cs.MM 74%

LLaVA-MORE: A Comparative Study of LLMs and Visual Backbones for Enhanced Visual Instruction Tuning

Federico Cocchi, Nicholas Moratelli, Davide Caffagni, Sara Sarto, Lorenzo Baraldi, Marcella Cornia, Rita Cucchiara

机构 * University of Modena and Reggio Emilia（摩德纳和雷吉奥艾米利亚大学）； University of Pisa（比萨大学）； IIT-CNR（意大利国家研究 council（IIT））

专题命中图文多模态：multimodal(abstract,comments)；分类 cs.CV、cs.CL、cs.AI；multimodal foundation model(comments)

Comments ICCV 2025 Workshop on What is Next in Multimodal Foundation Models

2503.19480 2025-08-01 cs.CV 57%

GenHancer: Imperfect Generative Models are Secretly Strong Vision-Centric Enhancers

Shijie Ma, Yuying Ge, Teng Wang, Yuxin Guo, Yixiao Ge, Ying Shan

机构 * ARC Lab, Tencent PCG（腾讯PCG ARC实验室）； Institute of Automation, CAS（中国科学院自动化研究所）

专题命中图文多模态：multimodal(abstract)；分类 cs.CV

Comments ICCV 2025. Project released at: https://mashijie1028.github.io/GenHancer/

2507.23362 2025-08-01 cs.CV 57%

Short-LVLM: Compressing and Accelerating Large Vision-Language Models by Pruning Redundant Layers

Ji Ma, Wei Suo, Peng Wang, Yanning Zhang

机构 * Northwestern Polytechnical University（西北工业大学）； 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）

专题命中图文多模态：multi-modal(abstract)；分类 cs.CV

Comments Accepted By ACM MM 25

2507.23226 2025-08-01 cs.CV 57%

Toward Safe, Trustworthy and Realistic Augmented Reality User Experience

Yanming Xiu

机构 * Department of Electrical and Computer Engineering, Duke University（电子工程系，杜克大学）

专题命中图文多模态：multimodal(abstract)；分类 cs.CV

Comments 2 pages, 4 figures