视觉大模型 / VLM

CHURRO: Making History Readable with an Open-Weight Large Vision-Language Model for High-Accuracy, Low-Cost Historical Text Recognition

Sina J. Semnani, Han Zhang, Xinyan He, Merve Tekgürler, Monica S. Lam

机构 * Stanford University（斯坦福大学） 纠错

专题命中 文档图表理解 ：vision-language model(title,abstract)；VLM(abstract)；分类 cs.CV

Comments EMNLP 2025

Logics-Parsing Technical Report

Xiangyang Chen, Shuzhao Li, Xiuwen Zhu, Yongfan Chen, Fan Yang, Cheng Fang, Lin Qu, Xiaoxiao Xu, Hu Wei, Minggang Wu

机构 * Alibaba Group（阿里巴巴集团） 纠错

专题命中 文档图表理解 ：vision-language model(abstract)；分类 cs.CV