Author

Wei Zhou

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#artificial intelligence Preprint Sep 2026

PACE: Progressive Angular-to-Norm Contrastive Embedding

This paper proposes PACE, a two-stage framework that progressively expands both the representation and trainable parameter spaces, and introduces Focal Embedding Loss, a confidence-adaptive objective that downweights queries with high positive retrieval confidence while emphasizing ambiguous queries with competitive ne...

Yan-Ping Li, Wei Zhou, Ya-Wen Liu et al. · 1 citation

#artificial intelligence Jul 2026

PFAdapter: Hierarchical LoRA Decomposition for Personalized Federated MLLMs

PFAdapter is proposed, a communication-efficient framework introducing hierarchical LoRA decomposition to explicitly separate adapter parameters into global-shared and local-private components, establishing an efficient solution for agentic AI deployment in resource-constrained communication networks.

Jing Liu, Kun Yang, Yan Wang et al. · arXiv.org · 0 citations