3 papers
cs.AI2026
Frequency-Aware Continual Learning for Smart Contract Vulnerability Detection with Large Language Models
Tenghui Huang, Jiawen Kang, Dongning Liu +5
Smart contract vulnerability detection with Large Language Models (LLMs) faces three causally linked challenges. First, new vulnerability categories demand parameter-efficient adap…
cs.NI2026
Graph-based Hierarchical Deep Reinforcement Learning for Deliverable Block Propagation with Optimal Hybrid Cost in Web 3.0
Shi Chen, Jinbo Wen, Jiawen Kang +4
Web 3.0 is envisioned as a decentralized paradigm, where blockchain serves as a core technology for transparent and tamper-proof data management. Among various blockchain architect…
cs.CR2025
ParaVul: A Parallel Large Language Model and Retrieval-Augmented Framework for Smart Contract Vulnerability Detection
Tenghui Huang, Jinbo Wen, Jiawen Kang +8
Smart contracts play a significant role in automating blockchain services. Nevertheless, vulnerabilities in smart contracts pose serious threats to blockchain security. Currently,…