Recent advances in code intelligence are largely driven by large language models (LLMs), which represent code as token sequences and achieve strong results on many software engineering tasks. However, standard token-based approaches often struggle to capture the inherent structural regularities of programming languages...
Qing-Lin Liang, Zhao Zhang, Chen Liu et al.· 0 citations
With the rapid evolution of Large Language Models (LLMs), automated software testing is witnessing a paradigm shift. While proprietary models like GPT-4o demonstrate impressive capabilities, their high deployment costs and data privacy concerns make open-source LLMs the practical imperative for many academic and indust...
Guo-Qing Wang, Cheng-Ran Yang, Xiao-Xuan Zhou et al.· Proceedings of the ACM on so...· 0 citations
WarmTuner is an offline-to-online reinforcement learning framework that turns historical records into a program-conditioned policy that predicts each flag's setting over the full flag space and remains adaptable on the target program and significantly outperforming the compared techniques.
Tianlu Qiao, Mingxuan Zhu, Ze-Yu Sun et al.· arXiv.org· 0 citations
PurifAI, a proactive, model-agnostic, cache-level purification system designed for safety- and compliance-sensitive deployments, is presented, explicitly designed to preserve knowledge alignment with a pre-defined trusted knowledge core.
Guoqing Wang, Zhao Zhang, Zeyu Sun et al.· Annual International ACM SIG...· 0 citations
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