3 papers
cs.IR2026
Orchestrating Heterogeneous Experts: A Scalable MoE Framework with Anisotropy-Preserving Fusion
Ye Liu, Xu Chen, Wuji Chen +1
In cross-border e-commerce, search relevance modeling faces the dual challenge of extreme linguistic diversity and fine-grained semantic nuances. Existing approaches typically rely…
cs.CV2025
Generative Editing in the Joint Vision-Language Space for Zero-Shot Composed Image Retrieval
Xin Wang, Haipeng Zhang, Mang Li +4
Composed Image Retrieval (CIR) enables fine-grained visual search by combining a reference image with a textual modification. While supervised CIR methods achieve high accuracy, th…
cs.LG2025
Adaptive Regularization for Large-Scale Sparse Feature Embedding Models
Mang Li, Wei Lyu
The one-epoch overfitting problem has drawn widespread attention, especially in CTR and CVR estimation models in search, advertising, and recommendation domains. These models which…