2 papers
cs.AI2026
OSMGraphCLIP: Learning Global Location Representations from OpenStreetMap Graphs
Dimitrios Michail, Eleni Saka, Ioannis Giannopoulos +1
We present OSMGraphCLIP, a CLIP-style geospatial representation model that learns global location embeddings from freely available OpenStreetMap (OSM) data. OSMGraphCLIP represents…
cs.AI2025
Bilateral Spatial Reasoning about Street Networks: Graph-based RAG with Qualitative Spatial Representations
Reinhard Moratz, Niklas Daute, James Ondieki +3
This paper deals with improving the capabilities of Large Language Models (LLM) to provide route instructions for pedestrian wayfinders by means of qualitative spatial relations.