Papers with metric distillation rule

1 papers
Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning (2022.emnlp-main)

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Challenge: Existing work on commonsense generation requires models to have relational reasoning and compositional generalization capabilities.
Approach: They propose a metric distillation rule to distill knowledge from a standard metric to a ranker and transfer it to re-ranking a retriever.
Outcome: The proposed method surpasses the previous SOTA.

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