1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AI2026
Let Relations Speak: An End-to-End LLM-GNN Soft Prompt Framework for Fraud Detection
Zhixing Zuo, Huilin He, Jiasheng Wu +1
In recent years, Large Language Models (LLMs) have shown great capability in processing graph tasks such as fraud detection. However, most existing methods rely heavily on rich tex…
cs.CL2023★ 1 cited
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding
Ruyao Xu, Taolin Zhang, Chengyu Wang +6
Knowledge-Enhanced Pre-trained Language Models (KEPLMs) improve the performance of various downstream NLP tasks by injecting knowledge facts from large-scale Knowledge Graphs (KGs)…