Papers by Xiangren Wang

1 papers
From Coarse to Fine: A Multi-Granularity Multimodal Framework for Teacher Sentiment Analysis (2026.findings-acl)

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Challenge: Existing approaches to teacher sentiment analysis treat it as a static label . current approaches fail to capture structured heterogeneity of classroom expressions .
Approach: They propose a coarse-to-fine multimodal framework that decomposes teacher sentiment into three granularities and employ CLS-guided cross-modal attention to recover effective signals from regulated displays.
Outcome: The proposed framework outperforms state-of-the-art models on T-MED and CMU-MOSEI.

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