Large Language Models for Spatio-temporal Queries

Speaker:  Mohamed F Mokbel – Shoreview, USA
Topic(s):  Information Systems, Search, Information Retrieval, Database Systems, Data Mining, Data Science

Abstract

This talk gives a comprehensive overview of the research landscape of employing Large Language Models (LLMs) for spatio-temporal queries. The research landscape is categorized based on how LLMs are employed to serve various queries. This goes from employing LLMs as a black box with a bit of prompt engineering, to fine-tuning LLMs to fit spatio-temporal queries, to completely retrain a vanilla LLM architecture with spatio-temporal data, to modifying the internal LLM loss function to fit spatio-temporal applications. The seminar concludes by presenting a set of benchmarking and evaluation work while pointing out to research gaps, open problems, and future research directions for employing LLMs to spatio-temporal applications.

About this Lecture

Number of Slides:  0
Duration:  60 minutes
Languages Available:  English
Last Updated:  20/03/2026

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