Abstract
This tutorial provides a comprehensive overview of the research landscape of employing Large Language Models (LLMs) to spatial analysis queries. The tutorial categorizes the research in this area based on how LLMs are employed to serve such queries. This goes from employing LLMs as is, to fine-tuning LLMs, to completely retrain LLM architectures, to modifying the LLM internals to fit spatial queries. The tutorial concludes by a set of benchmarks and pointing out to research gaps and future research directions.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 5451-5454 |
| Number of pages | 4 |
| Journal | Proceedings of the VLDB Endowment |
| Volume | 18 |
| Issue number | 12 |
| DOIs | |
| State | Published - 2025 |
| Event | 51st International Conference on Very Large Data Bases, VLDB 2025 - London, United Kingdom Duration: Sep 1 2025 → Sep 5 2025 |
Bibliographical note
Publisher Copyright:© 2025, VLDB Endowment. All rights reserved.
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