Papers with zero-shot summaries

1 papers
Multi-Dimensional Evaluation of Text Summarization with In-Context Learning (2023.findings-acl)

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Challenge: In-context learning-based evaluators are competitive with learned evaluation frameworks for text summarization tasks.
Approach: They propose to use large language models as multi-dimensional evaluators using in-context learning to evaluate text summarization tasks.
Outcome: The proposed frameworks are competitive with existing frameworks on relevance and factual consistency, the authors show .

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