Papers by Alexander Tselousov
Large-Scale Transfer Learning for Natural Language Generation (P19-1)
Copied to clipboard
Sergey Golovanov, Rauf Kurbanov, Sergey Nikolenko, Kyryl Truskovskyi, Alexander Tselousov, Thomas Wolf
| Challenge: | Large-scale pretrained language models define state of the art in natural language processing, achieving outstanding performance on a variety of tasks. |
| Approach: | They propose to apply large-scale pretrained language models to natural language generation tasks by comparing architectural and training schemes. |
| Outcome: | The proposed architectures perform well on open-domain dialog as a typical high entropy generation task. |