objectiveIntroduced by T5 · 2019
Span-corruption denoising
Replace random spans with sentinels and train the decoder to fill them in.
Drafted by AI · not yet reviewed
How this idea evolved
Suggested from citations. No curator has recorded what this idea builds on yet. These ideas from the same theme come from papers that T5 cites, directly or one step removed. Citation is a fact; the connection between the ideas is not verified.
Hide some tokens and predict them from context on both sides.
Train BERT longer, on more data, with bigger batches and dynamic masking.
Autoregressive training over all factorisation orders, capturing bidirectional context without masks.
Papers using this
- 2020GLU variants
- 2021Switch Transformer
- 2021Conceptual 12M
- 2021Prompt tuning
- 2021Frozen
- 2021SimVLM
- 2021T0
- 2021Gopher
- 2022PaLM
- 2022U-PaLM