Author

Zisen Sang

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Conference Open access May 2026

GALA: Generative Aligned Learning for Adaptive Multimodal Representation in the Taobao Shangou Recommender System

GALA is a three-stage pipeline extending existing learning frameworks, whose core innovation lies in an intermediate “generative RL alignment” stage that constructs multimodal pretraining data from user behavior and refines it via conversion-based rewards, effectively bridging the pretraining-fine-tuning gap to align w...

Jiping Liu, Zhongmin Zhang, Zisen Sang et al. · IEEE International Conferenc... · 0 citations

#artificial intelligence Book Open access May 2026

DeGRe: Dense-supervised Generative Reranking for Recommendation

This work proposes DeGRe (Dense-supervised Generative Reranking), a generative reranking framework that bridges the gap between offline exploration and online efficiency through dense supervision, and demonstrates that DeGRe outperforms baseline models on public benchmarks and industrial datasets.

Chaotian Song, Jing-Yao Zhang, Chenghao Chen et al. · Proceedings of the 32nd ACM... · 1 citation