We use the log-likelihood according to this model, but also add a regularization term, which tries to make the topic assignments of corresponding documents close.
we use posterior regularization (Graca et al., 2008;Ganchev et al., 2009) to place linear constraints on the expectations of topic assignments to two corresponding documents.