Bilateral Spatial Reasoning about Street Networks: Graph-based RAG with Qualitative Spatial Representations

This addresses the challenge of providing accurate pedestrian navigation instructions, though it appears incremental as it builds on existing graph-based and RAG methods.

The paper tackled the problem of enhancing Large Language Models' ability to generate route instructions for pedestrians by using qualitative spatial relations, resulting in improved capabilities for wayfinding.