Papers with few-shot and zero-shot generation

1 papers
Hierarchical Recurrent Aggregative Generation for Few-Shot NLG (2022.findings-acl)

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Challenge: Existing approaches do not account for the fact that some sub-tasks, specifically aggregation and lexicalisation, can benefit from transfer learning in different extents.
Approach: They propose a hierarchical approach for few-shot and zero-shot generation using a three-moduled jointly trained architecture.
Outcome: The proposed approach achieves state-of-the-art on few-shot and zero-shot settings compared to previous approaches.

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