5 papers
RF-Agent: A Practical Framework for Building Language Agents for RFIC Design
Yueqi Xing, Houbo He, Jolie Wang +5
Large language models (LLMs) have driven rapid progress in electronic design automation (EDA), yet their application to radio-frequency (RF) circuit design remains limited by the s…
PDAGENT-BENCH: Characterizing, Grounding, and Architecting LLM/VLM Agents for VLSI Physical Design
Qiufeng Li, Rongqian Chen, Quan Cheng +6
Large Language Models and vision-language models have shown remarkable success in the front-end design of Very Large-Scale Integrated Circuits, yet their capabilities for VLSI phys…
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…
Unicorn-CIM: Uncovering the Vulnerability and Improving the Resilience of High-Precision Compute-in-Memory
Qiufeng Li, Yiwen Liang, Weidong Cao
Compute-in-memory (CIM) architecture has been widely explored to address the von Neumann bottleneck in accelerating deep neural networks (DNNs). However, its reliability remains la…
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…