Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations (2023.acl-long)
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Lucy Lu Wang, Yulia Otmakhova, Jay DeYoung, Thinh Hung Truong, Bailey Kuehl, Erin Bransom, Byron Wallace
| Challenge: | Prior work has shown that models may exploit shortcuts that are difficult to detect using standard n-gram similarity metrics such as ROUGE. |
| Approach: | They propose to use human-assessed summary quality facets and pairwise preferences to improve MDS evaluation methods. |
| Outcome: | The proposed methods improve the quality of literature review summarization models . they use human-assessed summary quality facets and pairwise preferences . |
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