视觉大模型 / VLM

Distilling Multilingual Vision-Language Models: When Smaller Models Stay Multilingual

Sukrit Sriratanawilai, Jhayahgrit Thongwat, Romrawin Chumpu, Patomporn Payoungkhamdee, Sarana Nutanong, Peerat Limkonchotiwat

机构 * VISTEC ； AI Singapore 纠错

专题命中 视觉问答 ：vision-language model(title,abstract)

Comments Work in progress

CATCH: A Modular Cross-domain Adaptive Template with Hook

Xinjin Li, Yulie Lu, Jinghan Cao, Yu Ma, Zhenglin Li, Yeyang Zhou

机构 * Columbia University, United States Shanghai Jiao Tong University, China San Francisco State University, United States Carnegie Mellon University, United States Texas A\&M University, College Station, United States University of California, San Diego, United States 纠错

专题命中 视觉问答 ：LLaVA(abstract)；visual question answering(abstract)；分类 cs.CV

Enhancing Temporal Understanding in Video-LLMs through Stacked Temporal Attention in Vision Encoders

Ali Rasekh, Erfan Bagheri Soula, Omid Daliran, Simon Gottschalk, Mohsen Fayyaz

机构 * Leibniz University Hannover（莱比锡大学汉诺威分校） ； L3S Research Center（L3S研究中心） ； Microsoft（微软公司） 纠错

专题命中 视觉问答 ：multimodal large language model(abstract)；分类 cs.CV

Comments Accepted to NeurIPS 2025