LLM-ODDR uses prompted and fine-tuned large language models for joint order dispatching and driver repositioning and reports higher GMV and order response rate than eight baselines in a simulated Manhattan taxi environment.
Two-sided fairness for repeated matchings in two-sided markets: A case study of a ride-hailing platform,
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LLM-ODDR: A Large Language Model Framework for Joint Order Dispatching and Driver Repositioning
LLM-ODDR uses prompted and fine-tuned large language models for joint order dispatching and driver repositioning and reports higher GMV and order response rate than eight baselines in a simulated Manhattan taxi environment.