多模态大模型

MathReal: We Keep It Real! A Real Scene Benchmark for Evaluating Math Reasoning in Multimodal Large Language Models

Jun Feng, Zixin Wang, Zhentao Zhang, Yue Guo, Zhihan Zhou, Xiuyi Chen, Zhenyang Li, Dawei Yin

专题命中 多模态评测 ：multimodal(title,abstract)；分类 cs.CV

Comments 29 pages, 16 figures

Fine-Tuning Vision-Language Models for Markdown Conversion of Financial Tables in Malaysian Audited Financial Reports

Jin Khye Tan, En Jun Choong, Ethan Jeremiah Chitty, Yan Pheng Choo, John Hsin Yang Wong, Chern Eu Cheah

专题命中 多模态评测 ：image-text(abstract)；分类 cs.CV、cs.CL、cs.AI

Comments 28 pages, 14 figures, 5 tables. Evaluation code (LLM-as-a-judge and Markdown TEDS) is available at https://github.com/jinkhye/MyFinMarkdown. The development dataset and evaluation benchmark are available on Hugging Face at https://huggingface.co/datasets/jinkhye/MyFinMarkdown-sample and https://huggingface.co/datasets/jinkhye/MyFinMarkdown-bench respectively

INS-MMBench: A Comprehensive Benchmark for Evaluating LVLMs' Performance in Insurance

Chenwei Lin, Hanjia Lyu, Xian Xu, Jiebo Luo

机构 * School of Computer Science Fudan University（复旦大学计算机科学学院） ； Department of Computer Science University of Rochester（罗切斯特大学计算机科学系） ； School of Economics Fudan University（复旦大学经济学院） 纠错

专题命中 多模态评测 ：multimodal(abstract)；分类 cs.CV、cs.CL、cs.AI

Comments To appear in the International Conference on Computer Vision, ICCV 2025

Harnessing Adaptive Topology Representations for Zero-Shot Graph Question Answering

Yanbin Wei, Jiangyue Yan, Chun Kang, Yang Chen, Hua Liu, James T. Kwok, Yu Zhang

专题命中 多模态评测 ：multimodal(abstract)；分类 cs.CL、cs.AI

Can Large Models Fool the Eye? A New Turing Test for Biological Animation

Zijian Chen, Lirong Deng, Zhengyu Chen, Kaiwei Zhang, Qi Jia, Yuan Tian, Yucheng Zhu, Guangtao Zhai

专题命中 多模态评测 ：multimodal(abstract)；分类 cs.CV、cs.AI

Comments 24 pages, 10 figures

TruckV2X: A Truck-Centered Perception Dataset

Tenghui Xie, Zhiying Song, Fuxi Wen, Jun Li, Guangzhao Liu, Zijian Zhao

专题命中 多模态评测 ：multi-modal(abstract)

Journal ref IEEE Robotics and Automation Letters, vol. 10, no. 9, pp. 9312-9319, 2025