most citedMobText-SISA: Efficient Machine Unlearning for Mobility Logs with Spatio-Temporal and Natural-Language Data

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing cs.CYShow all

1 paper · 1 filter

cs.CY2026

Fine-tuning LLMs for Tourist Trajectory Prediction using Field Experiment Data

Tatsuya Amano, Hirozumi Yamaguchi

Evaluating mobility interventions at tourist destinations requires predicting visitor behavior under varying conditions. Traditional methods struggle because tourist decisions depe…