视觉大模型 / VLM

RSVLM-QA: A Benchmark Dataset for Remote Sensing Vision Language Model-based Question Answering

Xing Zi, Jinghao Xiao, Yunxiao Shi, Xian Tao, Jun Li, Ali Braytee, Mukesh Prasad

机构 * School of Computer Science, University of Technology Sydney（技术悉尼大学计算机科学学院） ； SEDE, University of Technology Sydney（技术悉尼大学SEDE） ； Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所） 纠错

专题命中 视觉问答 ：vision language model(title,abstract)；VLM(abstract)；visual question answering(abstract)；分类 cs.CV

Comments This paper has been accepted to the proceedings of the 33rd ACM International Multimedia Conference (ACM Multimedia 2025)

SynthVLM: Towards High-Quality and Efficient Synthesis of Image-Caption Datasets for Vision-Language Models

Zheng Liu, Hao Liang, Bozhou Li, Wentao Xiong, Chong Chen, Conghui He, Wentao Zhang, Bin Cui

机构 * Peking University Beijing China ； Huawei Technologies Ltd. Beijing China ； Shanghai AI Laboratory Shanghai China ； Peking University Center for Machine Learning Research Beijing China ； Peking University School of Computer Science \& Key Lab of High Confidence Software Technologies (MOE) Beijing China ； Peking University ； Huawei Technologies Ltd. ； Shanghai AI Laboratory 纠错

专题命中 视觉问答 ：vision-language model(title,abstract)；LLaVA(abstract)；multimodal large language model(abstract)；分类 cs.CV

MV-CoRe: Multimodal Visual-Conceptual Reasoning for Complex Visual Question Answering

Jingwei Peng, Jiehao Chen, Mateo Alejandro Rojas, Meilin Zhang

机构 * Shaanxi University of Technology（陕西理工大学） ； Technological University of Peru（秘鲁技术大学） 纠错

专题命中 视觉问答 ：visual question answering(title,abstract)；vision-language model(abstract)；分类 cs.CV

MuaLLM: A Multimodal Large Language Model Agent for Circuit Design Assistance with Hybrid Contextual Retrieval-Augmented Generation

Pravallika Abbineni, Saoud Aldowaish, Colin Liechty, Soroosh Noorzad, Ali Ghazizadeh, Morteza Fayazi

机构 * University of Utah（犹他大学） ； University of Michigan（密歇根大学） 纠错

专题命中 视觉问答 ：multimodal large language model(title,abstract)；分类 cs.AI、cs.LG

EfficientEQA: An Efficient Approach to Open-Vocabulary Embodied Question Answering

Kai Cheng, Zhengyuan Li, Xingpeng Sun, Byung-Cheol Min, Amrit Singh Bedi, Aniket Bera

机构 * Purdue University（普渡大学） ； University of Central Florida（中央佛罗里达大学） 纠错

专题命中 视觉问答 ：vision-language model(abstract)；VLM(abstract)；分类 cs.CV、cs.AI

Comments IROS 2025 Oral

Med-GRIM: Enhanced Zero-Shot Medical VQA using prompt-embedded Multimodal Graph RAG

Rakesh Raj Madavan, Akshat Kaimal, Hashim Faisal, Chandrakala S

机构 * Shiv Nadar University Chennai（施瓦斯纳大学钦奈） 纠错

专题命中 视觉问答 ：vision-language model(abstract)；visual question answering(abstract)；分类 cs.CV

MultiMedEdit: A Scenario-Aware Benchmark for Evaluating Knowledge Editing in Medical VQA

Shengtao Wen, Haodong Chen, Yadong Wang, Zhongying Pan, Xiang Chen, Yu Tian, Bo Qian, Dong Liang, Sheng-Jun Huang

专题命中 视觉问答 ：visual reasoning(abstract)；分类 cs.AI、cs.LG

Comments Under Review

DreamFrame: Enhancing Video Understanding via Automatically Generated QA and Style-Consistent Keyframes

Zhende Song, Chenchen Wang, Jiamu Sheng, Chi Zhang, Shengji Tang, Jiayuan Fan, Tao Chen

机构 * Fudan University（复旦大学） ； Westlake University, Tencent PCG（西湖大学、腾讯PCG） 纠错

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

Comments Accepted by ACMM'MM 2025