most citedNEZHA: A Zero-sacrifice and Hyperspeed Decoding Architecture for Generative Recommendations

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cs.IR2026

Conditional Memory Enhanced Item Representation for Generative Recommendation

Ziwei Liu, Yejing Wang, Shengyu Zhou +2

Generative recommendation (GR) has emerged as a promising paradigm that predicts target items by autoregressively generating their semantic identifiers (SID). Most GR methods follo…

cs.IR2025

GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks

Yejing Wang, Shengyu Zhou, Jinyu Lu +9

Generative recommendations (GR), which usually include item tokenizers and generative Large Language Models (LLMs), have demonstrated remarkable success across a wide range of scen…