2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.SI2024
LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning
Haoran Yang, Xiangyu Zhao, Sirui Huang +2
Graph Contrastive Learning (GCL) is a potent paradigm for self-supervised graph learning that has attracted attention across various application scenarios. However, GCL for learnin…
cs.CL2024★ 2 cited
Compressing Long Context for Enhancing RAG with AMR-based Concept Distillation
Kaize Shi, Xueyao Sun, Qing Li +1
Large Language Models (LLMs) have made significant strides in information acquisition. However, their overreliance on potentially flawed parametric knowledge leads to hallucination…