S. Malu

Learn the Interface, Not the Implementation: Output Representation Dominates Training Regime in LLM-Based RTL Generation

Large-language-model register-transfer-level (RTL) generation has concentrated on how to train the model: fine-tuning, continued pre-training, and reinforcement learning from a verifier. We argue this is the second-order question. On a bounded, formally specifiable task of generating single-error-correcting, double-err...