Le-Minh Nguyen

A Unified Framework for Function-Level Vulnerability Detection and Explanation in Smart Contracts

A unified framework combining a novel Hierarchical Cross-Attention Subgraph Neural Network for detection with Large Language Models for explanation form a comprehensive framework that significantly enhances both the technical accuracy and operational usability of smart contract analysis.

Unsupervised column relevance extraction for table-based fact verification via structured and explainable large language model reasoning

An unsupervised graph attention network empowered by large language models for knowledge graph grounded medical question answering