Multimodal Large Language Models (MLLMs) have been increasingly adopted to automate webpage generation from visual designs (e.g., screenshots). However, existing evaluations are limited to visual fidelity assessment under a fixed browser-device configuration. Such a setting overlooks the cross-environment rendering com...
Ziyun Guo, Jingyu Xiao, Yu-Qiang Sun et al.· 0 citations
SemRef, a framework that combines LLMs with dependency analysis to automatically refine architectures recovered by existing architecture recovery tools, is introduced, which improves accuracy across various metrics and enhances both the accuracy and the comprehension of recovered architectures.
Yi-Ran Zhang, Chengwei Liu, Yu-Qiang Sun et al.· Proceedings of the 2026 IEEE...· 1 citation
This work proposes KASS (Knowledge-Augmented Attack Synthesis and Simulation), a multi-agent framework for executable smart contract exploit verification and produces structured attack plans that document exploitation flows, quantify potential asset losses, and serve as semantic false positive filters for static analys...
