SemPOI-RL: Aligning LLM Semantic Reasoning for Interpretable Out-of-Town POI Sequential Generation
SemPOI-RL is proposed, a framework that aligns LLM semantic reasoning with structured sequence generation for interpretable OOT recommendation and consistently outperforms both traditional recommenders and direct LLM baselines, while providing interpretable style attribution across different phases of a trip.
Yunqi Liu, Yang Zhang, Ruixing Zhang et al.
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