Transformer-based methods achieve strong performance on language understanding tasks, yet the role of grammar in encoder representations remains insufficiently explained. While decoder-only models implicitly learn language structure through next-token prediction, encoder-only models still dominate many classification a...
SkillGate, a deployable security gateway that screens AI skill packages before coding agent installation is presented, and four research questions covering detection effectiveness, screening cost, runtime overhead, and false positive behavior on the SkillsBench benchmark against two existing tools are answered.
Rui Yang, Michael Fu, C. Tantithamthavorn et al.· arXiv.org· 1 citation
This paper introduces Requirements-Augmented Generation (REAG), which interprets user intentions by retrieving relevant software requirements, domain knowledge, and personas via adaptive RAG and self-reasoning to generate context-aware test oracles, and introduces a confidence-calibrated cascade judgment, which quantif...
Fan-Yu Wang, Chetan Arora, Zhen-Ping Xie et al.· 0 citations
An adversarial skill-synthesis method using six LLMs across four families to transform 471 real-world shell commands into benign-appearing skills, released as a benchmark of 2,826 skills mapped to 11 MITRE ATT&CK tactics.
Rui Yang, Michael Fu, Kla Tantithamthavorn et al.· 0 citations
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