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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Pablo N. Mendes

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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
Book Open access Sep 2026

Distribution-Level Contrastive Supervision for Generative Recommendation

Recent generative recommenders improve scalability by retrieving items through token generation instead of traditional ranking over large candidate sets. Yet their training signals are still dominated by discrete code prediction, which overlooks the soft assignment information naturally produced by the tokenizer. This...

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

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