MGeo: Multi-Modal Geographic Language Model Pre-Training To produce your own pretrain data, you simply need text-geolocation pairs which can be genrate by various way (e g , user click, POI data, position of delivery clerks) The geolocation and text just need to be related, no need to be exactly precise Having text-geolocation pairs, you can follow steps below to generate pretrain data
MGeo: Multi-Modal Geographic Pre-Training Method In this work, we propose a novel query-POI matching method Multi-modal Geographic language model (MGeo), which comprises a geographic encoder and a multi-modal interaction module
论文笔记：MGeo: Multi-Modal Geographic Language Model . . . 本文提出了一种新型查询-兴趣点（POI）匹配方法MGeo，通过多模态地理语言模型融合地理上下文（GC）与语义特征。 针对现有研究缺乏公开数据集的问题，作者构建了GeoTES基准数据集，包含中国杭州约90,000条人工标注查询和280多万个OSM来源的POI。 MGeo采用三阶段训练流程：先独立训练地理编码器学习GC表示，再进行多模态预训练，最后在排序和检索任务上微调。 实验表明该方法有效提升了匹配精度，为位置服务中的查询-POI匹配问题提供了创新解决方案。 _mgeo
MGeo: Multi-Modal Geographic Language Model Pre-Training In this work, we propose a novel method for query-POI matching, namely Multi-modal Geographic language model (MGeo), which comprises a geographic encoder and a multi-modal interaction module
mgeo_backbone_chinese_base · Models Built on a map-text multimodal architecture, it leverages Multi-Objective Meta-Pretraining (MOMETAS) technology, integrating Attention Adversarial Pre-training (ASA), Sentence Pair Pre-training (MaSTS), and multimodal pre-training
MGeo: Multi-Modal Geographic Language Model Pre-Training In this work, we propose a novel method for query-POI matching, namely Multi-modal Geographic language model (MGeo), which comprises a geographic encoder and a multi-modal interaction module
每日一词|多模态地理科学大模型 geographic sciences multi . . . The model, named Sigma Geography, was developed by a team of researchers from the Institute of Geographic Sciences and Natural Resources Research, the Institute of Tibetan Plateau Research and the Institute of Automation, all under the Chinese Academy of Sciences, and other organizations
Chinese scientists unveil worlds first multi-modal Large Language . . . A geographic sciences multi-modal Large Language Model (LLM), the first of its kind in the world, was unveiled in Beijing on Thursday It could support the integration of geography and artificial intelligence and help accelerate geographical discoveries