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Shen Wang

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#machine learning Preprint Oct 2026

Towards Reliable, Scalable, and Value-Aligned Generative Recommendation for Large-Scale Advertising

GR4AD-X is presented, which addresses limitations through reliable SID construction, serving-efficient capacity scaling, and unified value alignment, and improves SID reliability through Multi-Path assignment and expands model capacity along multiple complementary dimensions rather than relying solely on wider or deepe...

Ya-Tong Xiao, Yi-Bo Sheng, Li-Xiang Wang et al. · 0 citations
Preprint Aug 2026

TAGR: Temporally Adaptive Generative Recommendation for Industrial Live-Streaming Advertising

TAGR, a generative recommendation framework with temporal adaptation at three levels: live-ad tokenization, user intent modeling, and preference alignment, is proposed, demonstrating the effectiveness and industrial viability of temporally adaptive generative recommendation for live-stream advertising.

Wencai Ye, Guangyi Liu, Chaoyi Wang et al. · 0 citations

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