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MDSEval: A Meta-Evaluation Benchmark for Multimodal Dialogue Summarization (2025.findings-emnlp)

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Challenge: Multimodal Dialogue Summarization (MDS) is a critical task with wide-ranging applications.
Approach: They propose a meta-evaluation benchmark for multimodal dialogue summarization based on image-sharing dialogues, corresponding summaries and human judgments .
Outcome: The proposed framework is the first to identify and formalize key evaluation dimensions specific to MDS.

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