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Author

Yu-Tang Liu

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Open access Jul 2026

D3MBR: Dual-Level Diffusion Denoiser with Preference Guidance for Multi-Behavior Recommendation

This work reshape the denoising problem as a clean data generation task, and proposes a noise-free generation paradigm in a data-centric perspective, and integrates D \({}^{3}\) MBR with advanced MBR models and achieves great performance improvements across four datasets.

Yangtao Zhou, Xiangming Li, Jianan Li et al. · 0 citations
#artificial intelligence Preprint Aug 2026

Enhancing SAE-based Steering via Neighbor Integrated Feature Selection

This paper proposesNeighbor Integrated Feature Selection (NIFS), a plug-and-play strategy that leverages representation similarity to improve feature selection for steering and demonstrates consistent performance gains over conventional top-$k$ selection.

Yutang Liu, Xu Wang, Di-Fan Zou · 1 citation

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