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cs.LG2025
When Forgetting Builds Reliability: LLM Unlearning for Reliable Hardware Code Generation
Yiwen Liang, Qiufeng Li, Shikai Wang +1
Large Language Models (LLMs) have shown strong potential in accelerating digital hardware design through automated code generation. Yet, ensuring their reliability remains a critic…
cs.LG2025
AnalogFed: Privacy-Preserving Discovery of Analog Circuits at Scale with Federated Generative AI
Qiufeng Li, Shu Hong, Tian Lan +1
Recent advances in generative AI (GenAI) have shown transformative potential for modern hardware design. However, existing GenAI-driven approaches fall short of enabling large-scal…