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cs.CL2022★ 1 cited
Can In-context Learners Learn a Reasoning Concept from Demonstrations?
Michal Štefánik, Marek Kadlčík
Language models exhibit an emergent ability to learn a new task from a small number of input-output demonstrations. However, recent work shows that in-context learners largely rely…
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…