Segregate, Refine, Integrate: Decomposing Multimodal Fusion for Sentiment Analysis
Multimodal fusion must simultaneously refine modality-specific signals and model cross-modal interactions; two competing objectives typically entangled within the same operation. We propose \textbf{SeRIn} (\textbf{Se}gregate, \textbf{R}efine, \textbf{In}tegrate), a multimodal LM fusion scheme that enforces this separation as an architectural prior. Modality-specific representations evolve along isolated pathways, each refined against its respective encoder context, while a dedicated cross-modal pathway accumulates their joint evolution without contaminating unimodal streams. Full cross-modal i
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- PossiblePossibly related (embedding) · 50%Atomic-man007/Awesome_Multimodel_LLM →
- LinkedLinked via arxiv author · 85%Alexios Filippakopoulos →
“Segregate, Refine, Integrate: Decomposing Multimodal Fusion for Sentiment Analysis”
- LinkedLinked via arxiv author · 85%Elias Kallioras →
“Segregate, Refine, Integrate: Decomposing Multimodal Fusion for Sentiment Analysis”
- LinkedLinked via arxiv author · 85%Nikolaos Xiros →
“Segregate, Refine, Integrate: Decomposing Multimodal Fusion for Sentiment Analysis”
- LinkedLinked via arxiv author · 85%Efthymios Georgiou →
“Segregate, Refine, Integrate: Decomposing Multimodal Fusion for Sentiment Analysis”
- LinkedLinked via arxiv author · 85%Alexandros Potamianos →
“Segregate, Refine, Integrate: Decomposing Multimodal Fusion for Sentiment Analysis”