Document-level relation extraction aims to extract relations among entities within a document. Different from sentence-level relation extraction, it requires reasoning over multiple sentences across a ...

DGCPL is a novel dual graph distillation approach for concept prerequisite relation learning. [doi]. Miao Zhang, Jiawei Wang, Jinying Han, Kui Xiao , Zhifei Li, Yan Zhang, Hao Chen, Shihui Wang. DGCPL ...

Abstract: Modern deep learning models, such as Relation Graph Convolutional Network (RGCN), Sparse Convolutional Networks (SpConv), and Mixture of Experts Networks (MoE), are significantly dependent ...

Abstract: Multi-spectral object detection combining RGB and infrared modalities remains challenging due to inadequate crossmodal fusion strategies that fail to suppress redundant background while ...

H & M Hennes & Mauritz AB (publ) ( HNNMY) Q4 2025 Earnings Call January 29, 2026 3:00 AM EST ...