视觉大模型 / VLM

Assessing the Geolocation Capabilities, Limitations and Societal Risks of Generative Vision-Language Models

Oliver Grainge, Sania Waheed, Jack Stilgoe, Michael Milford, Shoaib Ehsan

专题命中 视觉推理 ：vision-language model(title,abstract)；分类 cs.CV

Comments Accepted to AAAI Fall Symposium 2025 on AI Trustworthiness and Risk Assessment for Challenging Contexts (ATRACC)

NPHardEval4V: Dynamic Evaluation of Large Vision-Language Models with Effects of Vision

Xiang Li, Wenyue Hua, Kaijie Zhu, Lingyao Li, Haoyang Ling, Jinkui Chi, Qi Dou, Jindong Wang, Yongfeng Zhang, Xin Ma, Lizhou Fan

机构 * Shandong University, School of Control Science ； Rutgers University, Department of Computer Science 110 Frelinghuysen Road Piscataway New Brunswick NJ USA 08854 ； University of California, Santa Barbara 1210 Cheadle Hall Santa Barbara California USA 93106 ； University of Michigan, School of Information 500 S State St Ann Arbor Michigan USA 48109 ； The Chinese University of Hong Kong, Department of Computer Science ； The College of William \& Mary, School of Computing, Data Sciences \& Physics 200 Stadium Dr Williamsburg Virginia USA 23185 ； The Chinese University of Hong Kong, Department of Psychiatry 9 Chuen On Rd Tai Po New Territories Hong Kong SAR, China 999077 ； Rutgers University, Department of Computer Science ； University of California, Santa Barbara ； University of Michigan, School of Information ； The College of William \& Mary, School of Computing, Data Sciences \& Physics ； The Chinese University of Hong Kong, Department of Psychiatry 纠错

专题命中 视觉推理 ：vision-language model(title,abstract)；分类 cs.CV

Comments 25 pages, 9 figures, 2 tables

11Plus-Bench: Demystifying Multimodal LLM Spatial Reasoning with Cognitive-Inspired Analysis

Chengzu Li, Wenshan Wu, Huanyu Zhang, Qingtao Li, Zeyu Gao, Yan Xia, José Hernández-Orallo, Ivan Vulić, Furu Wei

机构 * Microsoft Research（微软研究院） ； Language Technology Lab, University of Cambridge（语言技术实验室，剑桥大学） ； Institute of Automation, Chinese Academy of Sciences（自动化研究所，中国科学院） ； Department of Oncology, University of Cambridge（癌症部门，剑桥大学） ； Leverhulme Centre for the Future of Intelligence, University of Cambridge（未来智能中心，剑桥大学） ； VRAIN, Universitat Politècnica de València（VRAIN，巴塞罗那理工大学） 纠错

专题命中 视觉推理 ：multimodal large language model(abstract)；MLLM(abstract)；分类 cs.CV、cs.LG

Comments 9 pages, 4 figures (22 pages, 7 figures, 7 tables including references and appendices)

PyVision: Agentic Vision with Dynamic Tooling

Shitian Zhao, Haoquan Zhang, Shaoheng Lin, Ming Li, Qilong Wu, Kaipeng Zhang, Chen Wei

专题命中 视觉推理 ：visual reasoning(abstract)；分类 cs.CV、cs.AI

Comments 26 Pages, 10 Figures, Technical report, Fix Typo

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Weiyun Wang, Zhangwei Gao, Lixin Gu, Hengjun Pu, Long Cui, Xingguang Wei, Zhaoyang Liu, Linglin Jing, Shenglong Ye, Jie Shao, Zhaokai Wang, Zhe Chen, Hongjie Zhang, Ganlin Yang, Haomin Wang, Qi Wei, Jinhui Yin, Wenhao Li, Erfei Cui, Guanzhou Chen, Zichen Ding, Changyao Tian, Zhenyu Wu, Jingjing Xie, Zehao Li, Bowen Yang, Yuchen Duan, Xuehui Wang, Zhi Hou, Haoran Hao, Tianyi Zhang, Songze Li, Xiangyu Zhao, Haodong Duan, Nianchen Deng, Bin Fu, Yinan He, Yi Wang, Conghui He, Botian Shi, Junjun He, Yingtong Xiong, Han Lv, Lijun Wu, Wenqi Shao, Kaipeng Zhang, Huipeng Deng, Biqing Qi, Jiaye Ge, Qipeng Guo, Wenwei Zhang, Songyang Zhang, Maosong Cao, Junyao Lin, Kexian Tang, Jianfei Gao, Haian Huang, Yuzhe Gu, Chengqi Lyu, Huanze Tang, Rui Wang, Haijun Lv, Wanli Ouyang, Limin Wang, Min Dou, Xizhou Zhu, Tong Lu, Dahua Lin, Jifeng Dai, Weijie Su, Bowen Zhou, Kai Chen, Yu Qiao, Wenhai Wang, Gen Luo

机构 * Shanghai AI Laboratory（上海人工智能实验室） 纠错

专题命中 视觉推理 ：InternVL(abstract)；分类 cs.CV

Rethinking Reasoning in LLMs: Neuro-Symbolic Local RetoMaton Beyond ICL and CoT

Rushitha Santhoshi Mamidala, Anshuman Chhabra, Ankur Mali

专题命中 视觉推理 ：grounding(abstract)；分类 cs.AI

Rethinking Denial-of-Service: A Conditional Taxonomy Unifying Availability and Sustainability Threats

Mark Dorsett, Scott Man, Tim Koussas

专题命中 视觉推理 ：grounding(abstract)

Comments 7 pages, 3 figures, 3 tables,