Papers by Thieu Doan

1 papers
Abstractive Text Summarization Using the BRIO Training Paradigm (2023.findings-acl)

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Challenge: Existing abstractive summarization models rely heavily on reference summaries and lack control over their performance.
Approach: They propose a BRIO paradigm to reduce the dependence on reference summaries by fine-tuning pre-trained language models and training them with the paradigm.
Outcome: The proposed paradigm outperforms existing models on Vietnamese and CNNDM datasets while maintaining the main content of the original text.

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