Scaling RNA Foundation Models through Iterative Refinement

Name: Scaling RNA Foundation Models through Iterative Refinement
Uploaded: 2026-10-19T02:56:11.013267+00:00
Duration: 378 s
Description: Eco-RNA is an 80M parameter RNA foundation model that makes inference depth adjustable through learned iterative refinement. It uses a shared Transformer core repeatedly to refine sequence representations. This method demonstrates that internal inference computation, controlled by iteration count, is a key scaling dimension for RNA models, outperforming larger models with fewer parameters.

Eco-RNA is an 80M parameter RNA foundation model that makes inference depth adjustable through learned iterative refinement. It uses a shared Transformer core repeatedly to refine sequence representations. This method demonstrates that internal inference computation, controlled by iteration count, is a key scaling dimension for RNA models, outperforming larger models with fewer parameters.

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