3 citations · 7 across the 16 of their papers we have counts for
3 papers · 1 filter
Representation-Space MMD for Diffusion Language Models
Ilya Drobyshevskiy, Ilia Sudakov, Maksim Semenov +7
We introduce a post-training method for diffusion language models (DLMs) that minimizes Maximum Mean Discrepancy (MMD) between generated and reference distributions in the feature…
Linear Interpolation In Parameter Space is Good Enough for Fine-Tuned Language Models
Mark Rofin, Nikita Balagansky, Daniil Gavrilov
The simplest way to obtain continuous interpolation between two points in high dimensional space is to draw a line between them. While previous works focused on the general connect…
Classifiers are Better Experts for Controllable Text Generation
Askhat Sitdikov, Nikita Balagansky, Daniil Gavrilov +1
This paper proposes a simple method for controllable text generation based on weighting logits with a free-form classifier, namely CAIF sampling. Using an arbitrary text classifier…