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Unlocking human intent perception through multimodal large models

delete2025-11-17
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PRE
AI
Z
Zhaozhong Wang
Y
Yao Tian
王树同 cover
王树同 (Shutong Wang)
杨乐 (Le Yang)
B
Binglu Wang
DOI:10.1016/j.patcog.2025.112582delete
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Abstract

Abstract

En 中文
• IntentMLM replaces text decoder with a linear layer for direct intent scoring. • Retrieval-augmented strategy boosts accuracy via multimodal sample fusion. • Text description models enrich modalities to enhance intent prediction robustness.

Journal

Pattern Recognition cover
Pattern Recognition
IF:
7.6
Papers:
1.3W
Citations:
4.5W

Organization

N
Northwestern Polytechnical University
Scholars:
4.6W
Papers: 3.7W
Citations: 5.3W