AINeutralarXiv – CS AI · Apr 106/10
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A Comparative Study of Demonstration Selection for Practical Large Language Models-based Next POI Prediction
Researchers conducted a comparative analysis of demonstration selection strategies for using large language models to predict users' next point-of-interest (POI) based on historical location data. The study found that simple heuristic methods like geographical proximity and temporal ordering outperform complex embedding-based approaches in both computational efficiency and prediction accuracy, with LLMs using these heuristics sometimes matching fine-tuned model performance without additional training.