Papers by Yahe Li
Discriminative Language Model as Semantic Consistency Scorer for Prompt-based Few-Shot Text Classification (2024.lrec-main)
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| Challenge: | Existing methods for prompt-based finetuning are expensive and difficult to use. |
| Approach: | They propose a prompt-based method that uses a pretrained language model to discriminate between original and replacement tokens. |
| Outcome: | The proposed method outperforms state-of-the-art prompt-based few-shot methods on 10 widely-used text classification tasks. |