视觉大模型 / VLM

LLaVA-MORE: A Comparative Study of LLMs and Visual Backbones for Enhanced Visual Instruction Tuning

Federico Cocchi, Nicholas Moratelli, Davide Caffagni, Sara Sarto, Lorenzo Baraldi, Marcella Cornia, Rita Cucchiara

机构 * University of Modena and Reggio Emilia（摩德纳和雷吉奥艾米利亚大学） ； University of Pisa（比萨大学） ； IIT-CNR（意大利国家研究 council（IIT）） 纠错

专题命中 VLM训练与架构 ：LLaVA(title,abstract)；multimodal large language model(abstract)；分类 cs.CV、cs.AI

Comments ICCV 2025 Workshop on What is Next in Multimodal Foundation Models

Pruning All-Rounder: Rethinking and Improving Inference Efficiency for Large Vision Language Models

Wei Suo, Ji Ma, Mengyang Sun, Lin Yuanbo Wu, Peng Wang, Yanning Zhang

机构 * Northwestern Polytechnical University（西北工业大学） ； Swansea University（斯旺西大学） 纠错

专题命中 VLM训练与架构 ：vision language model(title)；vision-language model(abstract)；分类 cs.CV

Comments Accepted by ICCV 25

GenHancer: Imperfect Generative Models are Secretly Strong Vision-Centric Enhancers

Shijie Ma, Yuying Ge, Teng Wang, Yuxin Guo, Yixiao Ge, Ying Shan

机构 * ARC Lab, Tencent PCG（腾讯PCG ARC实验室） ； Institute of Automation, CAS（中国科学院自动化研究所） 纠错

专题命中 VLM训练与架构 ：VLM(abstract)；multimodal large language model(abstract)；分类 cs.CV

Comments ICCV 2025. Project released at: https://mashijie1028.github.io/GenHancer/

Multi-Prompt Progressive Alignment for Multi-Source Unsupervised Domain Adaptation

Haoran Chen, Zexiao Wang, Haidong Cao, Zuxuan Wu, Yu-Gang Jiang

机构 * Institute of Trustworthy Embodied AI, Fudan University（可信具身人工智能研究院，复旦大学） 纠错

专题命中 VLM训练与架构 ：vision-language model(abstract)；分类 cs.CV