# Multinomial logit, standard and robust errors

I'm computing a multinomial logit model with Biogeme. Looking at the final results, it seems that some variables are not statistically significant when standard errors are considered. However, with robust standard errors, they are all significant. Does anyone know if it make sense in this kind of model consider only the robust standard errors? I don't know if in multinomial logit, as it is different from a linear regression, the use of robust standard errors leads to a different interpretation. Sorry for this silly question