1 citations · 1 across the 4 of their papers we have counts for
5 papers
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…
Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning
Yuhang Wu, Xiangqing Shen, Fanfan Wang +4
Rerankers play a pivotal role in refining retrieval results for Retrieval-Augmented Generation. However, current reranking models are typically optimized on static human annotated…
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…
Network Intrusion Detection with Edge-Directed Graph Multi-Head Attention Networks
Xiang Li, Jing Zhang, Yali Yuan +1
A network intrusion usually involves a number of network locations. Data flow (including the data generated by intrusion behaviors) among these locations (usually represented by IP…
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…