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Accuracy is not enough: Evaluating Personalization in Summarizers (2023.findings-emnlp)

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Challenge: Existing accuracy measures cannot evaluate the degree of personalization of summarization models.
Approach: They propose to use a PENS dataset to analyze the degree of personalization of ten different summarization models.
Outcome: The proposed measure can evaluate the degree of personalization of summarization models using the PENS dataset.

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