Mitigating Family Effects in RNA Secondary-Structure Prediction with Latent-Space Continual Learning

per cluster of 0.931 (with a range of 0.177). These results surpass the strongest one-shot baseline and mitigate forgetting without full retraining. The gains persist as additional clusters are introduced. Overall, RNAFoLBO delivers higher and more stable performance and practical scalability for integrating new RNA clusters or families, enabling more robust and transferable RNA secondary-structure prediction.