2025
QiMeng-SALV: Signal-Aware Learning for Verilog Code Generation
NeurIPS 2025poster
The remarkable progress of Large Language Models (LLMs) presents promising opportunities for Verilog code generation which is significantly important for automated circuit design. The lacking of meaningful functional rewards hinders the preference optimization based on Reinforcement Learning (RL) fo…