2026
Catalog-Native LLM: Speaking Item-ID dialect with Less Entanglement for Recommendation
ICLR 2026poster
While collaborative filtering delivers predictive accuracy and efficiency, and Large Language Models (LLMs) enable expressive and generalizable reasoning, modern recommendation systems must bring these strengths together. Growing user expectations, such as natural-language queries and transparent ex…