Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models

Pre-trained multilingual language models show significant performance gains for zero-shot cross-lingual model transfer on a wide range of natural language understanding (NLU) tasks. Previously, for zero-shot cross-lingual evaluation, pre-trained models are only fine-tuned on English data and tested...

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Veröffentlicht in:	arXiv.org 2022-12
Hauptverfasser:	Tu, Lifu, Xiong, Caiming, Zhou, Yingbo
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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