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Jia-Lei Li

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Book Open access Feb 2026

Distribution-Level Contrastive Supervision for Generative Recommendation

SODA, a plug-and-play alignment framework that adopts a BPR-style contrastive objective to align recommender representations with target-side distributional representations against negative ones, is developed and demonstrated that SODA consistently strengthens diverse generative recommendation architectures.

Zi-Qiu Xue, Ding-Xian Wang, Yi-Meng Bai et al. · 0 citations

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