most citedSALAD: Systematic Assessment of Machine Unlearning on LLM-Aided Hardware Design

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cs.AR2025★ 1 cited

VeriContaminated: Assessing LLM-Driven Verilog Coding for Data Contamination

Zeng Wang, Minghao Shao, Jitendra Bhandari +5

Large Language Models (LLMs) have revolutionized code generation, achieving exceptional results on various established benchmarking frameworks. However, concerns about data contami…