Papers with multimodal factuality metrics

1 papers
Evaluating and Improving Factuality in Multimodal Abstractive Summarization (2022.emnlp-main)

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Challenge: Current factuality metrics do not account for vision modality, thus are not adequate for vision-and-language summarization.
Approach: They propose a weighted combination of CLIPScore and BERTScore to evaluate factuality for abstractive document summarization.
Outcome: The proposed metric outperforms existing factuality metrics on four factuity metric-evaluation benchmarks and is robust to human judgments.

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