Papers by Laureano Moro-Velazquez
Paired by the Teacher: Turning Unpaired Data into High-Fidelity Pairs for Low-Resource Text Generation (2025.emnlp-main)
Copied to clipboard
| Challenge: | a low-resource natural language generation task requires a large number of examples to generate outputs and outputs. |
| Approach: | They propose a teacher-student pipeline that synthesizes accurate input–output pairs without human labels or parallel data. |
| Outcome: | The proposed pipeline synthesizes accurate input–output pairs without human labels or parallel data. |