Papers with real-world city datasets
Similar Region Search using LLMs on Spatial Feature Space (2026.findings-eacl)
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| Challenge: | Existing similarity search methods fail to capture contextual richness of spatial data . existing methods fail in capturing regional characteristics, authors say . |
| Approach: | They propose a similar region search framework that ranks candidate regions based on their similarity to a query region using large language models. |
| Outcome: | The proposed similar region search framework outperforms state-of-the-art methods on real-world city datasets. |