Papers with Data Generation
Targeted Data Generation: Finding and Fixing Model Weaknesses (2023.acl-long)
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| Challenge: | Existing models fail systematically on specific subgroups of data, resulting in unfair outcomes and eroding user trust. |
| Approach: | They propose a framework that automatically identifies challenging subgroups and generates new data for those subgroup using large language models with a human in the loop. |
| Outcome: | The proposed framework improves accuracy on challenging subgroups while improving overall test accuracy. |