Tag
Residual Coupling (RC) connects frozen language models in parallel using lightweight learned linear bridges, enabling horizontal scaling without weight modification. It reduces perplexity by up to 80.7% compared to MoE and improves accuracy on TruthfulQA by 9.1 percentage points.