SituRecBench: Evaluating Frontier Models as Situated Recommendation Assistants in 3D Environments
arXiv:2611.10349v1 Announce Type: new Abstract: Recommender systems are transitioning from static retrieval engines into interactive assistants grounded in physical environments. However, current studies largely neglect the combined complexities of spatial navigation, visual grounding, and multi-turn social…
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