{"ID":2828027,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2512.15388","arxiv_id":"2512.15388","title":"Bilateral Spatial Reasoning about Street Networks: Graph-based RAG with Qualitative Spatial Representations","abstract":"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.","short_abstract":"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.","url_abs":"https://arxiv.org/abs/2512.15388","url_pdf":"https://arxiv.org/pdf/2512.15388v1","authors":"[\"Reinhard Moratz\",\"Niklas Daute\",\"James Ondieki\",\"Markus Kattenbeck\",\"Mario Krajina\",\"Ioannis Giannopoulos\"]","published":"2025-12-17T12:40:01Z","proceeding":"cs.AI","tasks":"[\"cs.AI\"]","methods":"[\"Large Language Model\",\"Language Model\"]","has_code":false}