Papers with MEAL
MEAL: Stable and Active Learning for Few-Shot Prompting (2023.findings-emnlp)
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| Challenge: | Existing methods for few-shot classification have high variance across different sets of few shots and finetuning runs. |
| Approach: | They propose novel ensembling methods that significantly reduce run variability and introduce a new active learning criterion for *data selection*. |
| Outcome: | The proposed method significantly reduces run variability and improves performance on five tasks. |