Tianying Liu

High aliasing rates in Semantic-ID tokenizers can be detected before training, revealing that deterministic prefix controls significantly outperform learned mappings in alignment.

Generative recommenders get a major upgrade: HPGR leverages hierarchical pre-training and sparse attention to dramatically improve performance and efficiency by explicitly modeling the structure of user behavior.