Catalog-Native LLM: Speaking Item-ID Dialect with Less Entanglement for Recommendation
arXiv:2510.05125v2 Announce Type: replace
Abstract: While collaborative filtering delivers predictive accuracy and efficiency, and Large Language Models (LLMs) enable expressive and generalizable reasoning, modern recommendation systems must bring the…