Papers by Hyunsun Hwang
Rule Discovery for Natural Language Inference Data Generation Using Out-of-Distribution Detection (2025.emnlp-main)
Copied to clipboard
| Challenge: | Existing training rules for natural language inference do not cover the diversity of natural language. |
| Approach: | They propose a framework that combines out-of-distribution detection and clustering to identify new premise–hypothesis pairs in a dataset that are not covered by existing rules. |
| Outcome: | The proposed framework achieves +0.85%p accuracy on 2k and +0.15%p on 550k samples. |