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Beihang University
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SemPOI-RL not only boosts the quality of out-of-town POI recommendations but also makes the underlying reasoning interpretable, bridging the gap between LLM capabilities and structured generation.
Controllable user simulation can now achieve 86.6% intent accuracy, dramatically outperforming existing methods and redefining how we train interactive assistants.
