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Guan-Jun Jiang

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#artificial intelligence Preprint Sep 2026

COPE: Continual Personalization of LLMs under Sparse User Feedback via User Embeddings and Self-Evaluation

Experiments show that COPE consistently outperforms strong training-free and training-based baselines under sparse feedback, and remains complementary to Retrieval-Augmented Prompting, and further analyses confirm COPE's reliable self-evaluation, meaningful preference patterns, stable general capabilities, and robustne...

Rui-Ke Cao, Fu-Gen Yao, Liang Dong et al. · 0 citations

#artificial intelligence Preprint Sep 2026

RPMem: Learning Long-Term Recurrent Parametric Memory Across Sessions for LLM Agents

RPMem is introduced, a two-stage architecture that compiles each session into a model-independent latent memory through forward computation and selectively integrates it with retained memory via a task-trained recurrent gate, establishing RPMem as a lifecycle-independent parametric memory framework that maintains evolv...

Fan-Yu Zhao, Rui-Ke Cao, Liang Dong et al. · 1 citation · ⚡1

#edge computing Preprint Sep 2026

Iapetus: Content-Aware Hierarchical Scheduling for Collaborative ViT Inference in LEO Satellite Networks

sys is presented, a content-aware hierarchical scheduler that screens constellation-wide options to retain a bounded candidate set, then refines each candidate into a complete token compression and layer offloading trajectory using quality prediction and joint planning and balances per-task latency, energy, and quality...

Yan Chen, Yun-Xiang Zhang, Guan-Jun Jiang et al. · 1 citation