多模态大模型

Can Multimodal Large Language Models Understand Spatial Relations?

Jingping Liu, Ziyan Liu, Zhedong Cen, Yan Zhou, Yinan Zou, Weiyan Zhang, Haiyun Jiang, Tong Ruan

机构 * School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China（信息科学与工程学院，东华大学，上海，中国） ； School of Computer Science, Fudan University, Shanghai, China（计算机科学学院，复旦大学，上海，中国） 纠错

专题命中 图文多模态 ：multimodal(title,abstract)；MLLM(abstract)；分类 cs.CV、cs.MM

Comments 13 pages, 7 figures, published to ACL 2025

Journal ref In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 620-632, 2025, Vienna, Austria

MM-FusionNet: Context-Aware Dynamic Fusion for Multi-modal Fake News Detection with Large Vision-Language Models

Junhao He, Tianyu Liu, Jingyuan Zhao, Benjamin Turner

机构 * Huaiyin Institute of Technology（淮阴职业技术学院） ； Universidad Autónoma de Asunción（阿斯unción自治大学） 纠错

专题命中 图文多模态 ：multi-modal(title,abstract)；cross-modal(abstract)

Fine-Grained Image-Text Correspondence with Cost Aggregation for Open-Vocabulary Part Segmentation

Jiho Choi, Seonho Lee, Minhyun Lee, Seungho Lee, Hyunjung Shim

机构 * KAIST, Republic of Korea（韩国科学技术院） ； Samsung Electronics, Republic of Korea（三星电子） 纠错

专题命中 图文多模态 ：image-text(title,abstract)；分类 cs.CV

Comments CVPR 2025

TRUST: Leveraging Text Robustness for Unsupervised Domain Adaptation

Mattia Litrico, Mario Valerio Giuffrida, Sebastiano Battiato, Devis Tuia

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