The EML Paradox: Better Language Model, Worse Symbolic Regression
Refleqt Labs · 7 min read
An EML hybrid FFN beat BD4 on 125M-scale language modelling and failed to recover sin(x) in all 12 symbolic regression configurations we tested -- a clean demonstration that universality and trainability are different things.