AI RESEARCH
VLM-CAD: VLM-Optimized Collaborative Agent Design Workflow for Analog Circuit Sizing
arXiv CS.AI
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ArXi:2601.07315v4 Announce Type: replace-cross Vision Language Models (VLMs) have nstrated remarkable potential in multimodal reasoning, yet they inherently suffer from spatial blindness and logical hallucinations when interpreting densely structured engineering content, such as analog circuit schematics. To address these challenges, we propose a Vision Language Model-Optimized Collaborative Agent Design Workflow for Analog Circuit Sizing (VLM-CAD) designed for robust, step-by-step reasoning over multimodal evidence.