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cs.IR2026
APAO: Bridging the Training-Inference Gap in Generative Recommendation via Adaptive Prefix-Aware Optimization
Yuanqing Yu, Yifan Wang, Weizhi Ma +2
Generative recommendation has recently emerged as a promising paradigm for sequential recommendation. It formulates the task as an autoregressive generation process, predicting tok…
cs.IR2025
Why Generate When You Can Transform? Unleashing Generative Attention for Dynamic Recommendation
Yuli Liu, Wenjun Kong, Cheng Luo +1
Sequential Recommendation (SR) focuses on personalizing user experiences by predicting future preferences based on historical interactions. Transformer models, with their attention…