视觉大模型 / VLM

Learning Dynamics of VLM Finetuning

Jusheng Zhang, Kaitong Cai, Jing Yang, Keze Wang

机构 * Sun Yat-sen University（中山大学） ； X-Era AI Lab（X-Era人工智能实验室） 纠错

专题命中 VLM训练与架构 ：VLM(title,abstract)；分类 cs.AI、cs.LG

Data or Language Supervision: What Makes CLIP Better than DINO?

Yiming Liu, Yuhui Zhang, Dhruba Ghosh, Ludwig Schmidt, Serena Yeung-Levy

机构 * Stanford University（斯坦福大学） ； Tsinghua University（清华大学） 纠错

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

Comments EMNLP 2025 Findings

VISaGE: Understanding Visual Generics and Exceptions

Stella Frank, Emily Allaway

机构 * University of Copenhagen（哥本哈根大学） ； University of Edinburgh（爱丁堡大学） 纠错

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

Comments EMNLP 2025

Modular Embedding Recomposition for Incremental Learning

Aniello Panariello, Emanuele Frascaroli, Pietro Buzzega, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara

机构 * AImageLab University of Modena and Reggio Emilia Italy（AImageLab 罗马那瓦尔大学） 纠错

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

Comments Accepted to the 36th British Machine Vision Conference (BMVC 2025), Sheffield, UK

SeeingSounds: Learning Audio-to-Visual Alignment via Text

Simone Carnemolla, Matteo Pennisi, Chiara Russo, Simone Palazzo, Daniela Giordano, Concetto Spampinato

机构 * University of Catania（卡塔尼亚大学） 纠错

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

Comments accepted to ACM Multimedia Asia 2025

VideoRFT: Incentivizing Video Reasoning Capability in MLLMs via Reinforced Fine-Tuning

Qi Wang, Yanrui Yu, Ye Yuan, Rui Mao, Tianfei Zhou

机构 * Beijing Institute of Technology（北京理工大学） ； Shenzhen University（深圳大学） 纠错

专题命中 VLM训练与架构 ：MLLM(abstract)；分类 cs.CV

Comments Accepted by NeurIPS 2025. Code: https://github.com/QiWang98/VideoRFT

Generate, Transduct, Adapt: Iterative Transduction with VLMs

Oindrila Saha, Logan Lawrence, Grant Van Horn, Subhransu Maji

机构 * University of Massachusetts, Amherst（马萨诸塞大学阿默斯特分校） 纠错

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

Comments Code is released at https://github.com/cvl-umass/GTA-CLIP

Cross-Modal Safety Alignment: Is textual unlearning all you need?

Trishna Chakraborty, Erfan Shayegani, Zikui Cai, Nael Abu-Ghazaleh, M. Salman Asif, Yue Dong, Amit K. Roy-Chowdhury, Chengyu Song

机构 * University of California, Riverside（加州大学河滨分校） 纠错

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

Comments Accepted by EMNLP 2024 Findings

Highlighting What Matters: Promptable Embeddings for Attribute-Focused Image Retrieval

Siting Li, Xiang Gao, Simon Shaolei Du

专题命中 其他VLM ：multimodal large language model(abstract)；MLLM(abstract)；分类 cs.CV、cs.LG

Comments NeurIPS 2025; 27 pages, 6 figures

A Review of Longitudinal Radiology Report Generation: Dataset Composition, Methods, and Performance Evaluation

Shaoyang Zhou, Yingshu Li, Yunyi Liu, Lingqiao Liu, Lei Wang, Luping Zhou

机构 * School of Electrical and Computer Engineering, The University of Sydney（电气与计算机工程学院，悉尼大学） ； School of Computer Science, The University of Adelaide（计算机科学学院，阿德莱德大学） ； School of Computing and Information Technology, University of Wollongong（计算与信息科技学院，沃伦冈大学） 纠错

专题命中 其他VLM ：vision language model(abstract)；分类 cs.CV

ImageSentinel: Protecting Visual Datasets from Unauthorized Retrieval-Augmented Image Generation

Ziyuan Luo, Yangyi Zhao, Ka Chun Cheung, Simon See, Renjie Wan

机构 * Department of Computer Science, Hong Kong Baptist University（香港 Baptist 大学计算机科学系） ； NVIDIA AI Technology Center, NVIDIA（NVIDIA 人工智能技术中心） 纠错

专题命中 其他VLM ：vision-language model(abstract)；分类 cs.CV

Comments Accepted at NeurIPS 2025