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Brian O’Horo

2 accepted papers

2022

Efficient Large Scale Language Modeling with Mixtures of Experts

EMNLP 2022main

Mixture of Experts layers (MoEs) enable efficient scaling of language models through conditional computation. This paper presents a detailed empirical study of how autoregressive MoE language models scale in comparison with dense models in a wide range of settings: in- and out-of-domain language mod…

Cited by 146SourcecodeScholar
2022

Few-shot Learning with Multilingual Generative Language Models

EMNLP 2022main

Large-scale generative language models such as GPT-3 are competitive few-shot learners. While these models are known to be able to jointly represent many different languages, their training data is dominated by English, potentially limiting their cross-lingual generalization. In this work, we train…