Smart contract vulnerability detection with Large Language Models (LLMs) faces three causally linked challenges. First, new vulnerability categories demand parameter-efficient adaptation, since full retraining is prohibitive for sequentially arriving tasks. Second, training per-task adapters on a shared backbone causes...
Teng-Hui Huang, Jia-Wen Kang, Dong-Ning Liu et al.· 0 citations
A taxonomy to categorize the roles of LLMs into four critical functions: state perceiver, reward designer, decision-maker, and generator is proposed and reviewed to offer insights into its future development in wireless networks.
This work proposes a split-inference framework for implementing CVL, which fully leverages the distributed communication and computing resources of the 6G SAGIN architecture and discusses potential research directions for 6G SAGIN-enabled CVL.
Min Hao, Yan-Bing Xu, Maoqiang Wu et al.· arXiv.org· 0 citations
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