Pareto-Optimal RTL Code Generation via Multi-Objective Reinforcement Learning with Large Language Models

Koki Takeshita, Kenji Uebayashi, Hikaru Tomonari +6

Recent studies have proposed reinforcement learning with verifiable rewards (RLVR) methods that enable LLMs to generate high-quality RTL circuits from natural-language specificatio…