5 papers
Image2Net: Datasets, Benchmark and Hybrid Framework to Convert Analog Circuit Diagrams into Netlists
Haohang Xu, Chengjie Liu, Qihang Wang +10
Large Language Model (LLM) exhibits great potential in designing of analog integrated circuits (IC) because of its excellence in abstraction and generalization for knowledge. Howev…
MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs
Chenchen Zhao, Zhengyuan Shi, Xiangyu Wen +19
The emergence of multimodal large language models (MLLMs) presents promising opportunities for automation and enhancement in Electronic Design Automation (EDA). However, comprehens…
DiffCkt: A Diffusion Model-Based Hybrid Neural Network Framework for Automatic Transistor-Level Generation of Analog Circuits
Chengjie Liu, Jiajia Li, Yabing Feng +5
Analog circuit design consists of the pre-layout and layout phases. Among them, the pre-layout phase directly decides the final circuit performance, but heavily depends on experien…
AnalogTester: A Large Language Model-Based Framework for Automatic Testbench Generation in Analog Circuit Design
Weiyu Chen, Chengjie Liu, Wenhao Huang +5
Recent advancements have demonstrated the significant potential of large language models (LLMs) in analog circuit design. Nevertheless, testbench construction for analog circuits r…
A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction
Chengjie Liu, Weiyu Chen, Huiyao Xu +3
In the design process of the analog circuit pre-layout phase, device sizing is an important step in determining whether an analog circuit can meet the required performance metrics.…