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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Wen-Bin Luo

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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
#reinforcement learning Open access Sep 2026

Learning Adaptive Search with Reinforcement Learning for Small and Fast Object Tracking

AdaSAM2 is introduced, a framework that formulates adaptive search-region selection as a sequential decision-making problem that employs an event-driven reinforcement learning policy that selects the cropping scale only during initialization and unreliable tracking states, while reusing the previous configuration durin...

Bin-Rui Liu, Xin-Yi Bo, Wen-Bin Luo et al. · 0 citations

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