Papers with diversification approaches

1 papers
Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions (2023.acl-long)

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Challenge: Large language models (LLMs) can be used to generate text data for training and evaluating other models.
Approach: They propose to use logit suppression and temperature sampling to diversify text generation but at the cost of data accuracy.
Outcome: The proposed approach can increase diversity but at the cost of data accuracy.

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