SPARC: A Multi-Agent System for Electrical Circuit Question Answering
Abstract
SPARC is a multi-agent system that improves circuit diagram question answering by using LLM agents to generate and analyze executable physics-based simulations.
Electrical circuit diagram QA tasks require complex mathematical reasoning, which remains challenging for multimodal LLMs. We present SPARC, a multi-agent system that answers questions over circuit diagrams by grounding reasoning in executable physics-based simulations. SPARC uses LLM agents to synthesize, execute, and analyze simulation programs, improving accuracy and reliability by design. It achieves 83% accuracy, with up to a 58% absolute improvement over baselines, while enabling systematic error diagnosis.
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