Papers by Hiroyoshi Nagao
Acquiring Bidirectionality via Large and Small Language Models (2025.coling-main)
Copied to clipboard
| Challenge: | Existing unidirectional language models are still used for token-level classification tasks, but they lack bidirectionality. |
| Approach: | They propose to use bidirectional language models to train a small backward LM and concatenate its representations to those of an existing LM for downstream tasks. |
| Outcome: | The proposed model improves performance by more than 10 points in token-classification tasks and in rare domains. |