Refine-POI: Reinforcement Fine-Tuned Large Language Models for Next Point-of-Interest Recommendation

ArXi:2506.21599v4 Announce Type: replace-cross Advancing large language models (LLMs) for the next point-of-interest (POI) recommendation task faces two fundamental challenges: (i) although existing methods produce semantic IDs that incorporate semantic information, their topology-blind indexing fails to preserve semantic continuity, meaning that proximity in ID values does not mirror the coherence of the underlying semantics; and (ii) supervised fine-tuning (SFT)-based methods restrict model outputs to top-1 predictions.