Reinforcement learning with AI reward models improves an instruction-tuned LLM's analog power-converter topology generation, beating fine-tuning baselines and generalizing to 6-10 component circuits.
Cktgnn: Circuit graph neural network for electronic design automation
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AUTOCIRCUIT-RL: Reinforcement Learning-Driven LLM for Automated Circuit Topology Generation
Reinforcement learning with AI reward models improves an instruction-tuned LLM's analog power-converter topology generation, beating fine-tuning baselines and generalizing to 6-10 component circuits.