5 citations · 13 across the 30 of their papers we have counts for
4 papers · 1 filter
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…
Implicit Unlikelihood Training: Improving Neural Text Generation with Reinforcement Learning
Evgeny Lagutin, Daniil Gavrilov, Pavel Kalaidin
Likelihood training and maximization-based decoding result in dull and repetitive generated texts even when using powerful language models (Holtzman et al., 2019). Adding a loss fu…
Self-Attentive Model for Headline Generation
Daniil Gavrilov, Pavel Kalaidin, Valentin Malykh
Headline generation is a special type of text summarization task. While the amount of available training data for this task is almost unlimited, it still remains challenging, as le…