多模态大模型

DashCLIP: Leveraging multimodal models for generating semantic embeddings for DoorDash

Omkar Gurjar, Kin Sum Liu, Praveen Kolli, Utsaw Kumar, Mandar Rahurkar

机构 * DoorDash, Inc.（DoorDash公司） 纠错

专题命中 图文多模态 ：multimodal(title)；multi-modal(abstract)；image-text(abstract)

TextRegion: Text-Aligned Region Tokens from Frozen Image-Text Models

Yao Xiao, Qiqian Fu, Heyi Tao, Yuqun Wu, Zhen Zhu, Derek Hoiem

机构 * Siebel School of Computing and Data Science（塞比尔计算与数据科学学院） ； University of Illinois at Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） 纠错

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

Comments Published in TMLR, with a J2C Certification

Journal ref Transactions on Machine Learning Research, 2025

TowerVision: Understanding and Improving Multilinguality in Vision-Language Models

André G. Viveiros, Patrick Fernandes, Saul Santos, Sonal Sannigrahi, Emmanouil Zaranis, Nuno M. Guerreiro, Amin Farajian, Pierre Colombo, Graham Neubig, André F. T. Martins

机构 * Instituto Superior Técnico, Universidade de Lisboa（里斯本大学技术高级学院） ； Instituto de Telecomunicações（电信研究所） ； Carnegie Mellon University（卡内基梅隆大学） ； Sword Health（Sword健康） ； TransPerfect ； MICS, CentraleSupélec, Université Paris-Saclay（MICS，中央圣艾尔布里大学，巴黎萨克雷大学） ； ELLIS Unit Lisbon（里斯本ELLIS单位） 纠错

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

Comments 15 pages, 7 figures, submitted to arXiv October 2025. All models, datasets, and training code will be released at https://huggingface.co/collections/utter-project/towervision

RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Chest X-ray with Zero-Shot Multi-Task Capability

Jonggwon Park, Byungmu Yoon, Soobum Kim, Kyoyun Choi

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

Comments NeurIPS 2025