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.LG2026
Big2Small: A Unifying Neural Network Framework for Model Compression
Jing-Xiao Liao, Haoran Wang, Tao Li +4
With the development of foundational models, model compression has become a critical requirement. Various model compression approaches have been proposed such as low-rank decomposi…
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,…