Промежуточный вывод

This work empirically explores effective ex- ploiting of intermediate output from pre- trained language models (PrLMs) for language generation tasks. For this purpose, we propose an improved method to integrate …...

AbstractLarge pretrained models enable transfer learning to low-resource domains for language generation tasks. However, previous end-to-end approaches do not account for the fact that some generation sub-tasks, specifically aggregation and …...