Papers by Ruixue Lian
MDSEval: A Meta-Evaluation Benchmark for Multimodal Dialogue Summarization (2025.findings-emnlp)
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Yinhong Liu, Jianfeng He, Hang Su, Ruixue Lian, Yi Nian, Jake W. Vincent, Srikanth Vishnubhotla, Robinson Piramuthu, Saab Mansour
| 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. |
Learning Label Hierarchy with Supervised Contrastive Learning (2024.findings-eacl)
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| Challenge: | Existing approaches to supervised contrastive learning treat each class as independent and therefore consider all classes to be equally important. |
| Approach: | They propose a family of Label-Aware SCL methods that incorporate hierarchical information to SCL by leveraging similarities between classes. |
| Outcome: | The proposed method outperforms baseline supervised approaches on three datasets. |