视觉大模型 / VLM

An Algorithmic Information-Theoretic Perspective on the Symbol Grounding Problem

Zhangchi Liu

机构 * Zhangchi Liu（刘志强） 纠错

专题命中 视觉定位与Grounding ：grounding(title,abstract)；分类 cs.AI

Comments 7 pages, 1 table (in appendix)

VideoMiner: Iteratively Grounding Key Frames of Hour-Long Videos via Tree-based Group Relative Policy Optimization

Xinye Cao, Hongcan Guo, Jiawen Qian, Guoshun Nan, Chao Wang, Yuqi Pan, Tianhao Hou, Xiaojuan Wang, Yutong Gao

机构 * Beijing University of Posts and Telecommunications（北京邮电大学） ； Minzu University of China（民族大学） 纠错

专题命中 视觉定位与Grounding ：grounding(title)；分类 cs.CV、cs.AI

Comments Accepted by ICCV 2025

Scientific Algorithm Discovery by Augmenting AlphaEvolve with Deep Research

Gang Liu, Yihan Zhu, Jie Chen, Meng Jiang

机构 * University of Notre Dame（诺丁汉大学） ； MIT-IBM Watson AI Lab, IBM Research（麻省理工-IBM Watson AI实验室，IBM研究） 纠错

专题命中 视觉定位与Grounding ：grounding(abstract)；分类 cs.AI

Comments 25 pages, 17 figures, 4 tables

CADReview: Automatically Reviewing CAD Programs with Error Detection and Correction

Jiali Chen, Xusen Hei, HongFei Liu, Yuancheng Wei, Zikun Deng, Jiayuan Xie, Yi Cai, Li Qing

机构 * School of Software Engineering, South China University of Technology（华南理工大学软件学院） ； Key Laboratory of Big Data and Intelligent Robot Ministry of Education（教育部大数据与智能机器人重点实验室） ； The Hong Kong Polytechnic University（香港理工大学） 纠错

专题命中 视觉定位与Grounding ：multimodal large language model(abstract)；分类 cs.CV

Comments ACL 2025 main conference

Data Factory with Minimal Human Effort Using VLMs

Jiaojiao Ye, Jiaxing Zhong, Qian Xie, Yuzhou Zhou, Niki Trigoni, Andrew Markham

专题命中 视觉定位与Grounding ：vision-language model(abstract)；分类 cs.CV

Comments Tech report

Robust Object Detection for Autonomous Driving via Curriculum-Guided Group Relative Policy Optimization

Xu Jia

专题命中 视觉定位与Grounding ：multimodal large language model(abstract)；分类 cs.CV

Teaching Machines to Speak Using Articulatory Control

Akshay Anand, Chenxu Guo, Cheol Jun Cho, Jiachen Lian, Gopala Anumanchipalli

专题命中 视觉定位与Grounding ：grounding(abstract)