Stella Biderman
2 papers · Latest:
Natural Language Processing
Crosslingual Generalization through Multitask Finetuning
This paper demonstrates that multitask finetuning of large multilingual language models on English and machine-translated prompts enables strong zero-shot crosslingual generalization to many languages, including those unseen during training.
2211.01786
Natural Language ProcessingGPT-NeoX-20B: An Open-Source Autoregressive Language Model
GPT-NeoX-20B is a 20 billion parameter open-source autoregressive language model that demonstrates strong few-shot reasoning abilities and outperforms comparable models in multi-shot settings.
2204.06745
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