多模态大模型

MHier-RAG: Multi-Modal RAG for Visual-Rich Document Question-Answering via Hierarchical and Multi-Granularity Reasoning

Ziyu Gong, Chengcheng Mai, Yihua Huang

专题命中 跨模态检索 ：multi-modal(title,abstract)；分类 cs.MM

Comments Comments: Update Title, Author, Abstract, etc

V2X-UniPool: Unifying Multimodal Perception and Knowledge Reasoning for Autonomous Driving

Xuewen Luo, Fengze Yang, Fan Ding, Xiangbo Gao, Shuo Xing, Yang Zhou, Zhengzhong Tu, Chenxi Liu

机构 * University of Utah（犹他大学） ； Monash University（莫纳什大学） ； Texas A&M University（德克萨斯农工大学） 纠错

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

Ranked from Within: Ranking Large Multimodal Models Without Labels

Weijie Tu, Weijian Deng, Dylan Campbell, Yu Yao, Jiyang Zheng, Tom Gedeon, Tongliang Liu

机构 * Australian National University ； Sydney AI Centre, The University of Sydney ； Curtin University ； University of \'OBuda 纠错

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

Comments ICML 2025 Camera Ready

MaskCD: Mitigating LVLM Hallucinations by Image Head Masked Contrastive Decoding

Jingyuan Deng, Yujiu Yang

机构 * Tsinghua Shenzhen International Graduate School, Tsinghua University（清华大学深圳国际研究生院，清华大学） 纠错

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

Comments accepted to emnlp2025 findings

AMANDA: Agentic Medical Knowledge Augmentation for Data-Efficient Medical Visual Question Answering

Ziqing Wang, Chengsheng Mao, Xiaole Wen, Yuan Luo, Kaize Ding

机构 * Northwestern University（西北大学） ； Microsoft（微软公司） 纠错

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

Comments EMNLP Findings

MonSTeR: a Unified Model for Motion, Scene, Text Retrieval

Luca Collorone, Matteo Gioia, Massimiliano Pappa, Paolo Leoni, Giovanni Ficarra, Or Litany, Indro Spinelli, Fabio Galasso

机构 * Sapienza University of Rome（罗马萨皮恩扎大学） ； Technion, NVIDIA（技术学院与NVIDIA） ； WSense 纠错

专题命中 跨模态检索 ：cross-modal(abstract)；分类 cs.CV