| Existing pre-training methods and their disadvantages. Arrows indicate which tokens are used to produce a given output representation (rectangle). Left: Traditional language models (e.g., GPT) only use context to the left of the current word. Right: Masked language models (e.g., BERT) use context from both the left and right, but predict only a small subset of words for each input. |
