APAO
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APAO: Adaptive Prefix-Aware Optimization for Generative Recommendation
arXiv:2603.02730v3 Announce Type: replace Abstract: Generative recommendation has recently emerged as a promising paradigm for sequential recommendation. It formulates the task as an autoregressive generation process, predicting tokens of the next item conditioned on user interaction histories. Existing generative recommendation models are typically trained with token-level likelihood objectives such as cross-entropy loss, while employing beam search during inference to generate ranked...