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Detecting and quantifying overparametrization in RNA language models with REDIAL

2026-05-12

Abstract excerpt

<h4>ABSTRACT</h4> While RNA language models (LMs) have served as foundation models (FMs) to advanced structural prediction, their evaluation relies heavily on supervised downstream tasks. Such tasks can often mask FM inefficiencies and reflect downstream training set memorization. To address this, here we introduce REDIAL (RNA Embedding perturbation Diagnostics for Language models), a zero-shot, unsupervised fram...

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Literature Corpus work
1e00149e-53ce-5749-a17a-2428155c427c
DOI
10.64898/2026.05.11.724344
Open publication

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Detecting and quantifying overparametrization in RNA language models with REDIALDOI 10.64898/2026.05.11.724344
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