activity
20232026
most citedGeo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages

187 citations · 235 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

Spatial Representation Learning Beyond Pixels: Unifying Raster Data and Vector Semantics for Human-Centric Geospatial Foundation Models

Steffen Knoblauch, Hao Li, Gengchen Mai +3

Earth Observation (EO) has fundamentally transformed the monitoring of environmental processes and human activities up to planetary scale. Recent advances in self-supervised learni…

cs.AI2026

NARA: Anchor-Conditioned Relation-Aware Contextualization of Heterogeneous Geoentities

Jina Kim, Gengchen Mai, Lingyi Zhao +2

Geospatial foundation models have primarily focused on raster data such as satellite imagery, where self-supervised learning has been widely studied. Vector geospatial data instead…

cs.AI2023

Multimodality of AI for Education: Towards Artificial General Intelligence

Gyeong-Geon Lee, Lehong Shi, Ehsan Latif +10

This paper presents a comprehensive examination of how multimodal artificial intelligence (AI) approaches are paving the way towards the realization of Artificial General Intellige…

cs.AI202316 cited

Transformation vs Tradition: Artificial General Intelligence (AGI) for Arts and Humanities

Zhengliang Liu, Yiwei Li, Qian Cao +9

Recent advances in artificial general intelligence (AGI), particularly large language models and creative image generation systems have demonstrated impressive capabilities on dive…

cs.AI202332 cited

Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges

Fei Dou, Jin Ye, Geng Yuan +22

Artificial General Intelligence (AGI), possessing the capacity to comprehend, learn, and execute tasks with human cognitive abilities, engenders significant anticipation and intrig…