May 15, 2023, 12:46 a.m. | Lei Liu, Jimmy Xiangji Huang

cs.CL updates on arXiv.org arxiv.org

Dialogue systems for non-English languages have long been under-explored. In
this paper, we take the first step to investigate few-shot cross-lingual
transfer learning (FS-XLT) and multitask learning (MTL) in the context of
open-domain dialogue generation for non-English languages with limited data. We
observed catastrophic forgetting in both FS-XLT and MTL for all 6 languages in
our preliminary experiments. To mitigate the issue, we propose a simple yet
effective prompt learning approach that can preserve the multilinguality of
multilingual pre-trained language …

arxiv context cross-lingual data dialogue english languages multitask learning paper prompt prompt learning systems transfer transfer learning

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne