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Language Models are Few-shot Multilingual Learners
2021
Proceedings of the 1st Workshop on Multilingual Representation Learning
unpublished
General-purpose language models have demonstrated impressive capabilities, performing on par with state-of-the-art approaches on a range of downstream natural language processing (NLP) tasks and benchmarks when inferring instructions from very few examples. Here, we evaluate the multilingual skills of the GPT and T5 models in conducting multi-class classification on non-English languages without any parameter updates. We show that, given a few English examples as context, pre-trained language
doi:10.18653/v1/2021.mrl-1.1
fatcat:czv4znd6g5gexgduqrq6j4rgcu