On the Memorization Behavior of LLMs in Generative Recommendation: Observations, Implications, and Training Strategies
Snap shows that LLM recommenders rely heavily on one-hop memorization and teaches them richer relations.
š arxiv.org/abs/2606.17276
šØš½āš» github.com/snap-researc...
arxiv.org
Generative recommendation (GR) has emerged as a promising direction for recommender systems. Recently, large language models (LLMs) have been increasingly adopted for GR, as their rich pretrained know...
