43 citations · 141 across the 21 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.CL2022
Soft Alignment Objectives for Robust Adaptation of Language Generation
Michal Štefánik, Marek Kadlčík, Petr Sojka
Domain adaptation allows generative language models to address specific flaws caused by the domain shift of their application. However, the traditional adaptation by further traini…
cs.CL2022
Adaptor: Objective-Centric Adaptation Framework for Language Models
Michal Štefánik, Vít Novotný, Nikola Groverová +1
Progress in natural language processing research is catalyzed by the possibilities given by the widespread software frameworks. This paper introduces Adaptor library that transpose…