多模态大模型

DocMMIR: A Framework for Document Multi-modal Information Retrieval

Zirui Li, Siwei Wu, Yizhi Li, Xingyu Wang, Yi Zhou, Chenghua Lin

专题命中 跨模态检索 ：multi-modal(title,abstract)；multimodal(abstract)；cross-modal(abstract)

Comments Accepted for publication at EMNLP 2025 Findings. Code and data publicly available at https://github.com/J1mL1/DocMMIR

MCA: Modality Composition Awareness for Robust Composed Multimodal Retrieval

Qiyu Wu, Shuyang Cui, Satoshi Hayakawa, Wei-Yao Wang, Hiromi Wakaki, Yuki Mitsufuji

机构 * Sony Group Corporation（索尼集团公司） ； Sony AI（索尼人工智能） 纠错

专题命中 跨模态检索 ：multimodal(title,abstract)；分类 cs.CL、cs.AI、cs.MM

Hypergraph Contrastive Sensor Fusion for Multimodal Fault Diagnosis in Induction Motors

Usman Ali, Ali Zia, Waqas Ali, Umer Ramzan, Abdul Rehman, Muhammad Tayyab Chaudhry, Wei Xiang

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

Comments Submitted to IEEE Sensors Journal

Elevating Visual Perception in Multimodal LLMs with Visual Embedding Distillation

Jitesh Jain, Zhengyuan Yang, Humphrey Shi, Jianfeng Gao, Jianwei Yang

机构 * Microsoft Research, Redmond（微软研究院（红mond）） ； Meta Superintelligence Labs（Meta超智能实验室） 纠错

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

Comments Project Page: https://praeclarumjj3.github.io/visper_lm/

CCD: Mitigating Hallucinations in Radiology MLLMs via Clinical Contrastive Decoding

Xi Zhang, Zaiqiao Meng, Jake Lever, Edmond S. L. Ho

机构 * School of Computing Science, University of Glasgow（计算科学学院，格拉斯哥大学） 纠错

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

Comments Preprint, 27 pages, 3 figures