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Ruixue Lian

2 accepted papers

2025

MDSEval: A Meta-Evaluation Benchmark for Multimodal Dialogue Summarization

EMNLP 2025

Multimodal Dialogue Summarization (MDS) is a critical task with wide-ranging applications. To support the development of effective MDS models, robust automatic evaluation methods are essential for reducing both cost and human effort. However, such methods require a strong meta-evaluation benchmark g

Cited by 0SourcePDFScholar
2022

Incremental User Embedding Modeling for Personalized Text Classification

ICASSP 2022accepted

Individual user profiles and interaction histories play a significant role in providing customized experiences in real-world applications such as chatbots, social media, retail, and education. Adaptive user representation learning by utilizing user personalized information has be-come increasingly c…

Cited by 0SourceScholar