视觉大模型 / VLM

CORE: Compact Object-centric REpresentations as a New Paradigm for Token Merging in LVLMs

Jingyu Lei, Gaoang Wang, Der-Horng Lee

机构 * Zhejiang University（浙江大学） 纠错

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

Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language Models

Xuyang Liu, Yiyu Wang, Junpeng Ma, Linfeng Zhang

机构 * Shanghai Jiao Tong University（上海交通大学） ； Sichuan University（四川大学） ； Fudan University（复旦大学） 纠错

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

Comments EMNLP 2025 main

Learning Skill-Attributes for Transferable Assessment in Video

Kumar Ashutosh, Kristen Grauman

机构 * University of Texas at Austin（德克萨斯大学奥斯汀分校） 纠错

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

Comments NeurIPS 2025, Project webpage: https://vision.cs.utexas.edu/projects/CrossTrainer/

Towards LLM-Based Usability Analysis for Recommender User Interfaces

Sebastian Lubos, Alexander Felfernig, Damian Garber, Viet-Man Le, Thi Ngoc Trang Tran

专题命中 其他VLM ：multimodal large language model(abstract)

Comments The paper was presented at IntRS'25: Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, September 22, 2025, Prague, Czech Republic and is published in the workshop proceedings: https://ceur-ws.org/Vol-4027/