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Wei-Nan Gan

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#artificial intelligence Preprint Sep 2026

FairDiff: Mitigating the Self-Reinforcing Matthew Effect in Diffusion Recommender Models

While the"Matthew Effect"and filter bubbles are widely recognized outcome-level biases in recommender systems, we reveal that Diffusion Recommender Models (DRMs) uniquely compound this issue through their generative dynamics. Rather than merely inheriting data imbalances, DRMs trigger a self-reinforcing amplification o...

Song-Li Wu, Xian-Quan Wang, Zhao-Cheng Du et al. · 0 citations
#artificial intelligence Preprint Sep 2026

ActiveMem: Dynamic Latent Memory Trees for Long-Horizon Agents

Large Language Model (LLM) agents increasingly rely on external memory to support long-horizon reasoning and decision making. Existing memory systems typically retrieve historical trajectories or summaries as independent context fragments, overlooking the procedural dependencies underlying multi-step execution. As memo...

Song-Li Wu, Jing-Yi Wang, Zhao-Cheng Du et al. · 0 citations

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