Go to ACL ARR 2026 January homepageSPARC: A Multi-Agent System for Electrical Circuit Question Answering
Keywords: agents, AI agents, multimodal LLM, LLM, Electrical circuits, LLM inference
Abstract: 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.
Paper Type: Long
Research Area: Question Answering
Research Area Keywords: multimodal QA, reasoning, LLM agents, multi-agent systems
Contribution Types: Model analysis & interpretability, NLP engineering experiment, Data resources
Languages Studied: English
Submission Number: 6528
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