Difference-Masking: Choosing What to Mask in Continued Pretraining (2023.findings-emnlp)
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Alex Wilf, Syeda Akter, Leena Mathur, Paul Liang, Sheryl Mathew, Mengrou Shou, Eric Nyberg, Louis-Philippe Morency
| Challenge: | Existing approaches to masked prediction have shown that deciding what to mask can substantially improve learning outcomes. |
| Approach: | They propose a masking strategy that automatically chooses what to mask during continued pretraining by considering what makes a task domain different from the pretraining domain. |
| Outcome: | The proposed masking strategy outperforms baselines on language-only and multimodal video tasks. |
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