HKUNLP/multilingual-transfer
Code for paper ”Language Versatilists vs. Specialists: An Empirical Revisiting on Multilingual Transfer Ability“
This project helps natural language processing researchers understand how well large language models can perform tasks across multiple languages (versatilists) versus specializing in a single language (specialists). It takes multilingual datasets like XNLI and LogiQA, and produces insights into a model's cross-lingual transfer ability. NLP researchers or academics studying language models and multilingualism would use this.
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Use this if you are an NLP researcher investigating the multilingual capabilities and transfer learning potential of large language models for various tasks.
Not ideal if you are looking to deploy or fine-tune a language model for a specific production application, rather than conducting research on model behavior.
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Python
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Jun 13, 2023
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