Papers by Artem Harutyunyan
BYOC: Personalized Few-Shot Classification with Co-Authored Class Descriptions (2023.findings-emnlp)
Copied to clipboard
| Challenge: | Existing approaches to text classification require large annotated corpora to train or long context to fit many examples. |
| Approach: | They propose a method to few-shot text classification using an LLM. |
| Outcome: | The proposed approach yields high accuracy classifiers within 79% of the performance of models trained with larger datasets while using only 1% of their training sets. |