Papers by Ende Shen
TempLM: Distilling Language Models into Template-Based Generators (2023.findings-acl)
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| Challenge: | Pretrained language models (PLMs) have greatly improved text generation, but they have also been known to produce unfaithful or inappropriate content. |
| Approach: | They propose a pretrained language model that is a template-based generator and uses it to generate a text. |
| Outcome: | The proposed model is more faithful than the original PLM and more fluent than prior template systems. |