Generalized Language Models

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[Updated on 2019-02-14: add ULMFiT and GPT-2.]
[Updated on 2020-02-29: add ALBERT.]
[Updated on 2020-10-25: add RoBERTa.]
[Updated on 2020-12-13: add T5.]
[Updated on 2020-12-30: add GPT-3.]
[Updated on 2021-11-13: add XLNet, BART and ELECTRA; Also updated the Summary section.]

I guess they are Elmo & Bert? (Image source: here)

We have seen amazing progress in NLP in 2018. Large-scale pre-trained language modes like OpenAI GPT and BERT have achieved great performance on a variety of language tasks using generic model architectures. The idea is similar to how ImageNet classification pre-training helps many vision tasks (*). Even better than vision classification pre-training, this simple and powerful approach in NLP does not require labeled data for pre-training, allowing us to experiment with increased training scale, up to our very limit.

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