Factuality Guided Diffusion-Based Abstractive Summarization
Abstractive summarization models are required to generate summaries that maintain factual consistency with the source text and exhibit high diversity to be applicable in practical applications. Existing models, which are based on pre-trained sequence-to-sequence or text diffusion approaches, general...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10689582/ |