2026
Understanding Transfer Learning of RNA Foundation Models on Downstream Tasks
ICML 2026poster
Foundation models (FMs) pretrained on large-scale sequence data have emerged as a promising paradigm for RNA biology, yet the mechanisms underlying their transferability remain unclear. In this work, we conduct a systematic investigation of transfer learning in RNA FMs across diverse structural and …