Prompt Mining for Language-based Human Mobility Forecasting

arXiv:2403.03544v1 Announce Type: cross
Abstract: With the advancement of large language models, language-based forecasting has recently emerged as an innovative approach for predicting human mobility patterns. The core idea is to use prompts to transform the raw mobility data given as numerical values into natural language sentences so that the language models can be leveraged to generate the description for future observations. However, previous studies have only employed fixed and manually designed templates to transform numerical values into sentences. Since …

abstract advancement arxiv core cs.ai cs.cl data forecasting human language language models large language large language models mining mobility natural natural language numerical patterns prompt prompts raw type values