Author

Lulu Wang

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Sep 2026

Rethinking LLM-aided RTL Code Optimization Via Timing Logic Metamorphosis

A metamorphic testing based evaluation method and a companion benchmark to measure the effectiveness of LLM-aided RTL code optimization show that LLM-aided methods effectively optimize logic operations and data paths, achieving lower or stable wire counts and area with delays near baseline.

Zhi-Hao Xu, Bi-Xin Li, Ran Yan et al. · ACM Transactions on Reconfig... · 0 citations

2026

A Reinforcement Learning-Driven Adversarial Attack Methods With Dynamic Perturbation Optimization

Pretrained programming language models (PLMs) have shown strong performance in software engineering tasks, but remain vulnerable to adversarial attacks. Traditional methods rely on narrow, static perturbation strategies, leading to poor diversity and a combinatorial explosion of the search space when multiple operation...

Lulu Wang, Xiaoyi Wang, Xiaoning Du et al. · IEEE Transactions on Reliabi... · 0 citations