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cs.LG2026
VERPO: Verified Evidence Regularized Policy Optimization
Haijiang Li, Chengyu Lv, Yi Zhang +12
Verifiable rewards improve language models through reliable task-level feedback, but methods based on Group Relative Policy Optimization (GRPO) apply a sequence-level advantage uni…
cs.LG2024
Heterogeneous Graph Contrastive Learning with Spectral Augmentation
Jing Zhang, Xiaoqian Jiang, Yingjie Xie +1
Heterogeneous graphs can well describe the complex entity relationships in the real world. For example, online shopping networks contain multiple physical types of consumers and pr…
cs.LG2019★ 1 cited
Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification
Kaisheng Gao, Jing Zhang, Cangqi Zhou
The graph convolution network (GCN) is a widely-used facility to realize graph-based semi-supervised learning, which usually integrates node features and graph topologic informatio…