QT-Mob learns compact semantic location tokens with hierarchical vector quantization and uses multi-objective instruction tuning to improve LLM performance on next-location prediction and mobility recovery.
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Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization
QT-Mob learns compact semantic location tokens with hierarchical vector quantization and uses multi-objective instruction tuning to improve LLM performance on next-location prediction and mobility recovery.