NAN sets merging coefficients inversely proportional to each model's parameter norm and claims a least-squares justification, but the derivation yields a different formula and performance gains are inconsistent.
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NAN: A Training-Free Solution to Coefficient Estimation in Model Merging
NAN sets merging coefficients inversely proportional to each model's parameter norm and claims a least-squares justification, but the derivation yields a different formula and performance gains are inconsistent.