AI RESEARCH
Compute Only Once: UG-Separation for Efficient Large Recommendation Models
arXiv CS.LG
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ArXi:2602.10455v2 Announce Type: replace-cross Driven by scaling laws, recommender systems increasingly rely on larger-scale models to capture complex feature interactions and user behaviors, but this trend also leads to prohibitive