Evaluating LLMs in Circuit Design
First benchmark for testing language models' circuit reasoning capabilities
The CIRCUIT dataset introduces 510 question-answer pairs to evaluate how well large language models can reason about analog circuits—an unexplored application area with significant potential.
- Creates the first benchmark specifically for assessing LLM capabilities in circuit interpretation
- Spans multiple difficulty levels of analog circuit subjects
- Enables systematic evaluation of AI models for engineering applications
- Identifies opportunities for LLMs to complement traditional circuit design optimization
This research opens pathways for AI to enhance engineering workflows by potentially reducing design time, offering alternative analysis perspectives, and supporting educational applications in electrical engineering.
CIRCUIT: A Benchmark for Circuit Interpretation and Reasoning Capabilities of LLMs