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Status: Unchecked ×Keyword: bloom ×Clear all

4 claims from 2 papers

1. Computer Science › Topic Modeling

   BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

   BigScience, :, Le et al. · arXiv (Cornell University) · 2022

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   1. Unchecked“We find that BLOOM achieves competitive performance on a wide variety of benchmarks, with stronger results after undergoing multitask prompted finetuning.”

2. Computer Science › Topic Modeling

   Crosslingual Generalization through Multitask Finetuning

   Muennighoff, Thomas, Sutawika et al. · arXiv (Cornell University) · 2022

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   1. Unchecked“We find finetuning large multilingual language models on English tasks with English prompts allows for task generalization to non-English languages that appear only in the pretraining corpus.”
   2. Unchecked“Finetuning on multilingual tasks with English prompts further improves performance on English and non-English tasks leading to various state-of-the-art zero-shot results.”
   3. Unchecked“Surprisingly, we find models are capable of zero-shot generalization to tasks in languages they have never intentionally seen.”