视觉大模型 / VLM

Analyzing the Sensitivity of Vision Language Models in Visual Question Answering

Monika Shah, Sudarshan Balaji, Somdeb Sarkhel, Sanorita Dey, Deepak Venugopal

机构 * University of Memphis, TN, USA（密苏里大学） ； Adobe Research, San Jose, CA, USA（Adobe研究院） ； University of Maryland Baltimore County, USA（马里兰大学巴尔的摩县分校） 纠错

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

GLIMPSE: Holistic Cross-Modal Explainability for Large Vision-Language Models

Guanxi Shen

机构 * Georgia Institute of Technology（佐治亚理工学院） 纠错

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

Comments Keywords: Explainable Computer Vision, Large Vision-Language Models, AI Interpretability, Explainable AI, Visual Saliency, Attribution Maps, Cross-Modal Attribution, Human Attention Alignment, AI Transparency

SafeDriveRAG: Towards Safe Autonomous Driving with Knowledge Graph-based Retrieval-Augmented Generation

Hao Ye, Mengshi Qi, Zhaohong Liu, Liang Liu, Huadong Ma

机构 * State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications（网络与交换技术国家重点实验室，北京邮电大学） 纠错

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

VizGenie: Toward Self-Refining, Domain-Aware Workflows for Next-Generation Scientific Visualization

Ayan Biswas, Terece L. Turton, Nishath Rajiv Ranasinghe, Shawn Jones, Bradley Love, William Jones, Aric Hagberg, Han-Wei Shen, Nathan DeBardeleben, Earl Lawrence

机构 * Los Alamos National Laboratory（洛斯阿拉莫斯国家实验室） ； Coastal Carolina University（海岸卡罗来纳大学） ； Ohio State University（俄亥俄州立大学） 纠错

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

FlagEvalMM: A Flexible Framework for Comprehensive Multimodal Model Evaluation

Zheqi He, Yesheng Liu, Jing-shu Zheng, Xuejing Li, Jin-Ge Yao, Bowen Qin, Richeng Xuan, Xi Yang

机构 * BAAI FlagEval Team（BAAI 评测团队） 纠错

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

Comments Accepted by ACL 2025 Demo

Querying GI Endoscopy Images: A VQA Approach

Gaurav Parajuli

机构 * Johannes Kepler University Linz（约翰·凯撒大学林茨） 纠错

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

Solution for Meta KDD Cup'25: A Comprehensive Three-Step Framework for Vision Question Answering

Zijian Zhang, Xiaocheng Zhang, Yang Zhou, Zhimin Lin, Peng Yan

专题命中 视觉问答 ：visual question answering(abstract)