Collaborative Research: III: Foundations for Reliable and Generalizable Spatial-Temporal Large Language Models in Urban Dynamics

Overview

Urban dynamics prediction is increasingly powered by Large Language Model (LLM)-based spatial-temporal forecasting models. This approach includes multi-sensor observations (e.g., traffic speeds and travel demand) being tokenized into sequential representations and processed by LLMs to generate numerical forecasts.…