Most stability experiments focused on repeatedly training the same algorithm on one corpus Hahn, 2016a,b, 2017;<cite> Antoniak and Mimno, 2018</cite>; Pierrejean and Tanguy, 2018; Chugh et al., 2018) , whereas Wendlandt et al. (2018) quantified stability by comparing word similarity for models trained with different algorithms.