Bart CaPE Xsum
CaPE is a contrastive parameter ensemble method designed to reduce hallucination in abstractive summarization.
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Release Time : 4/23/2022
Model Overview
CaPE employs contrastive parameter integration techniques to mitigate hallucination issues during abstractive summarization, enhancing the accuracy and reliability of summaries.
Model Features
Reducing Hallucination
Effectively reduces hallucination in abstractive summarization through contrastive parameter integration techniques.
Improving Accuracy
Generates more accurate and reliable summaries.
Model Capabilities
Abstractive Summarization
Reducing Hallucination in Summaries
Use Cases
Text Summarization
News Summarization
Generates concise summaries of news articles while minimizing hallucinated content.
Enhances the accuracy and reliability of summaries.
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