Papers with symbolic knowledge distillation

1 papers
Factual Dialogue Summarization via Learning from Large Language Models (2025.coling-main)

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Challenge: Existing models generate fluent and coherent summaries, but inconsistencies can be found in generated summary.
Approach: They propose to use symbolic knowledge distillation to improve the factual consistency of smaller pretrained models for dialogue summarization.
Outcome: The proposed model outperforms baseline models in BART, PEGASUS, and Flan-T5 in factual consistency and accuracy.

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