Papers by Guangyuan Jiang
Rapid Word Learning Through Meta In-Context Learning (2025.emnlp-main)
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| Challenge: | Existing methods for few-shot word learning are underexplored. |
| Approach: | They propose a method that trains language models to generate new examples of a word’s usage given a few in-context examples, using a special placeholder token to represent the new word. |
| Outcome: | The proposed method trains language models to generate new examples of a word’s usage given a few in-context examples, using a special placeholder token to represent the new word. |