多模态大模型

CutPaste&Find: Efficient Multimodal Hallucination Detector with Visual-aid Knowledge Base

Cong-Duy Nguyen, Xiaobao Wu, Duc Anh Vu, Shuai Zhao, Thong Nguyen, Anh Tuan Luu

机构 * Nanyang Technological University, Singapore（南洋理工大学） ； National University of Singapore, Singapore（国立新加坡大学） 纠错

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

RealSyn: An Effective and Scalable Multimodal Interleaved Document Transformation Paradigm

Tiancheng Gu, Kaicheng Yang, Chaoyi Zhang, Yin Xie, Xiang An, Ziyong Feng, Dongnan Liu, Weidong Cai, Jiankang Deng

机构 * The University of Sydney（悉尼大学） ； DeepGlint ； Imperial College London（伦敦帝国学院） 纠错

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

Comments 15 pages, 12 figures, Accepted by ACM MM2025, Webpage: https://garygutc.github.io/RealSyn

Can Large Vision-Language Models Understand Multimodal Sarcasm?

Xinyu Wang, Yue Zhang, Liqiang Jing

机构 * The University of Texas at Dallas（德克萨斯大学达拉斯分校） 纠错

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

Comments Accepted by CIKM 2025

VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction

Rongxin Jiang, Robert Long, Chenghao Gu, Mingrui Yan

机构 * Heilongjiang University of Science and Technology（黑龙江科技大学） ； University of Padua（帕多瓦大学） 纠错

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