ChipSeek is a hierarchical-reward reinforcement learning framework with Curriculum-Guided Dynamic Policy Optimization that integrates EDA simulator feedback to improve LLM-generated RTL code on both functional correctness and PPA metrics.
Origen: Enhancing rtl code generation with code-to-code augmentation and self-reflection
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
verdicts
UNVERDICTED 2representative citing papers
EstRTL improves correctness of generic-LLM RTL code generation by 3.2-9% via a Generation-Estimation-Correction loop that uses static functional scoring to decide acceptance, retry, or repair.
citing papers explorer
-
ChipSeek: Optimizing Verilog Generation via EDA-Integrated Reinforcement Learning
ChipSeek is a hierarchical-reward reinforcement learning framework with Curriculum-Guided Dynamic Policy Optimization that integrates EDA simulator feedback to improve LLM-generated RTL code on both functional correctness and PPA metrics.
-
EstRTL: Functional Estimation Guided RTL Code Generation
EstRTL improves correctness of generic-LLM RTL code generation by 3.2-9% via a Generation-Estimation-Correction loop that uses static functional scoring to decide acceptance, retry, or repair.